Tech Talks Daily

In this episode of Tech Talks Daily, I’m joined by Glen Shok, VP of Product Marketing at Panzura, for a detailed look into how the company is rethinking hybrid cloud storage with the release of CloudFS 8.5 Adapt.

CloudFS 8.5 isn’t just another update. Built in direct response to customer feedback, it introduces powerful new features like Instant Node and Regional Store that redefine performance, availability, and business continuity. Instant Node allows failed systems to be replaced or migrated in under five minutes.

 Regional Store brings high-speed data access closer to end users around the world while reducing latency and cloud egress costs.

As Glen explains, the latest release meets the growing demand for flexibility in the face of geopolitical uncertainty, rising cloud costs, and evolving IT infrastructure. Panzura is helping organizations maintain uptime, protect data, and adapt quickly, whether moving away from VMware or modernizing a global IT footprint. CloudFS 8.5 Adapt enables this without forcing customers to compromise on control, performance, or security.

We also explore how Panzura’s vision for autonomic data infrastructure is becoming a reality. With every CloudFS node sharing full configuration metadata, new nodes can spin up almost instantly. AI plays a central role here too. Through Panzura Data Services, AI tracks behavioral anomalies to detect early signs of data exfiltration, ransomware, or internal threats. This provides not just alerts, but the ability to interdict and isolate risky behavior in real time.

Looking ahead, Glen shares how Panzura is preparing to support AI workloads directly where unstructured data lives. Instead of migrating terabytes to external platforms, organizations can train language models in place, reducing cost and complexity. With features like enhanced RBAC, native Entra ID support, and a virtual data lake model on the horizon, Panzura is clearly positioning itself at the intersection of enterprise storage and AI innovation.

If you work in cloud infrastructure, cybersecurity, data governance, or AI deployment, this episode offers practical insights into the challenges IT teams face today and the technologies that are solving them.

In this episode of Tech Talks Daily, I’m joined by Chase Garbarino, Co-Founder and CEO of HQO, a company reimagining the way commercial real estate connects with its occupants. From digital keycards to IoT-enabled spaces, HQO is building the operating system for real estate, already active across 250 million square feet in 24 countries.

We explore how commercial real estate, once known for its slow adoption of technology, is finally undergoing rapid transformation. Chase shares the story behind HQO’s creation, the drive to modernize the built environment, and why he believes cities are humanity’s greatest product. He outlines how hybrid work, flexible leases, and higher user expectations have pushed property owners to rethink what a workplace should offer.

But this isn’t just a tech story. It’s about connection. Chase reveals how HQO is helping create meaningful experiences through digital tools that serve every type of building user, not just those paying the rent. From commute integration to smart access, amenity bookings to workplace engagement, HQO’s platform is designed to be both invisible and impactful.

We also learn about the Quantum City Initiative, a new effort from HQO and MIT to help existing cities leap forward with shared learnings, digital infrastructure, and civic innovation. It is not about tearing cities down and starting from scratch. It is about helping them adapt, thrive, and compete in a connected world.

Chase closes by sharing one of his favorite stories: how a shoe company, a beer company, and a 3D printing firm all found community inside an HQO-powered building. These companies collaborated, socialized, and created something no one could have planned, all because the tech enabled real people to meet.

If you are curious about how smart buildings are becoming more human or how data and design can shape a more connected future, this conversation will spark new ideas.

What happens when AI reshapes intellectual property, and decentralized storage rewrites data sovereignty? In this episode of Tech Talks Daily, we explore that intersection with a deep dive into the work of StorX Network, a platform rethinking cloud storage from the ground up.

Our guest joins from StorX, a decentralized cloud storage network designed with privacy, security, and user empowerment at its core. At a time when data privacy is eroding and centralized providers are struggling to keep pace with evolving threats, StorX offers a radically different approach. Their system encrypts data using the user’s private passphrase, fragments it into smaller pieces, then distributes multiple copies across a global network of autonomous nodes.

The result? A storage solution that is trustless, censorship resistant, and economically more efficient, often cutting costs by up to 90 percent compared to traditional providers.

We discuss how StorX is positioning itself in a world increasingly concerned about surveillance, ransomware, and digital control. Much like AI is forcing conversations around copyright and ownership, decentralized storage is surfacing urgent questions around who controls data and how it's accessed.

This episode is not just about technology, it’s about the philosophical shift in how we think about trust, control, and freedom in digital spaces. We unpack why decentralized architecture matters, how privacy-preserving systems can scale, and where innovation is heading next.

If you're building applications or storing sensitive data, this is a conversation worth tuning in for. Because as digital life becomes more complex, where and how we store our information will define what kind of internet we want to live in.

Want to hear more stories at the intersection of privacy, decentralization, and innovation? Subscribe and stay tuned.

What happens when the world's most powerful AI systems are measured by the same yardstick?

In this episode of Tech Talks Daily, I spoke with David Kanter, Founder and Executive Director of MLCommons, the organization behind MLPerf, the industry's most recognized benchmark for AI performance. As AI continues to outpace Moore’s Law, businesses and governments alike are asking the same question: how do we know what “good” AI performance really looks like? That’s exactly the challenge MLCommons set out to address.

David shares the story of how a simple suggestion at a Stanford meeting led him from analyst to the architect of a global benchmarking initiative. He explains how MLPerf benchmarks are helping enterprises and policymakers make informed decisions about AI systems, and why transparency, neutrality, and open collaboration are central to the mission.

We explore what’s really driving AI’s explosive growth. It’s not just about chips. Smarter software, algorithmic breakthroughs, and increasingly scalable system designs are all contributing to performance improvements far beyond what Moore’s Law predicted.

But AI’s rapid progress comes with a cost. Power consumption is quickly becoming one of the biggest challenges in the industry. David explains how MLCommons is helping address this with MLPerf Power and why infrastructure innovations like low-precision computation, advanced cooling, and even proximity to power generation are gaining traction.

We also talk about the decision by some major vendors not to participate in MLPerf. David offers perspective on what that means for buyers and why benchmark transparency should be part of any enterprise AI procurement conversation.

Beyond the data center, MLCommons is now benchmarking AI performance on consumer hardware through MLPerf Client and is working on domain-specific efforts such as MLPerf Automotive. As AI shows up in smartphones, vehicles, and smart devices, the need for clear, fair, and relevant performance measurement is only growing.

So how do we measure AI that is everywhere? What should buyers demand from vendors? And how can the industry ensure that AI systems are fast, efficient, and accountable? Let’s find out.

In this episode of Tech Talks Daily, Neil is joined by Jose Soto, VP of Engineering at Converge Marketing, to discuss how data democratization transforms performance marketing. Jose highlights a common bottleneck in marketing where engineering teams act as the data gatekeepers, often slowing down marketing efforts. He explains how empowering marketers with self-service access to data through intuitive platforms speeds up decision-making and drives measurable growth for brands.

Jose talks about how Converge has broken down data silos by creating clean data pipelines and user-friendly tools that allow non-technical users to interact with data confidently. Instead of relying on engineers, marketing teams now have the freedom to access data, build reports, and analyze trends in real-time. This shift has led to improved agility, better collaboration, and faster campaign optimizations.

The conversation also explores the impact of AI and machine learning on marketing. Jose discusses how these technologies are helping marketers make more precise, data-driven decisions by enabling predictive analytics, optimizing creative messaging, and even automating campaign management. As AI continues to evolve, marketing teams can make more informed decisions with greater accuracy.

For businesses aiming to stay ahead in the ever-changing marketing landscape, this episode offers valuable insights on empowering teams, streamlining operations, and leveraging data to foster growth.

Listen in to discover how Converge is breaking down data barriers and preparing for the future of AI-powered marketing.

What happens when software development meets AI assistance, and anyone with an idea suddenly has the power to build it?

 In this episode, I sat down with Ryan Frankel, President and CTO of Digital Brands and the mind behind HostingAdvice.com, to explore the rise of “vibeware” and how AI is shifting the development landscape.

Ryan has a fascinating journey that began with BASIC programming on an Apple IIc and led through military-grade signal processing to leading a portfolio of digital properties. At the center of our conversation is Vibeware.

AI-assisted development tools that are starting to lower the barriers for would-be creators. But unlike the hype you often hear, Ryan doesn’t sugarcoat the limitations. While AI can generate impressive snippets of production-ready code, we’re nowhere near a future where it can build and maintain scalable applications on its own. Context, debugging, infrastructure, and data architecture still require human oversight, and developers who understand these elements are more valuable than ever.

Ryan also explained how these tools are beginning to change how companies approach building versus buying software. AI-assisted development is giving teams more confidence to build custom internal solutions rather than defaulting to SaaS platforms. That trend could open the door for smaller businesses to create the kinds of tailored tools that were once only realistic for large enterprises.

Perhaps the most insightful part of our chat was Ryan’s analogy comparing AI-assisted coding to home cooking. Just as meal kits allow anyone to prepare a decent dinner, vibeware makes it easier for non-experts to build software. But when quality, scale, and performance matter, people still turn to professionals. Developers fluent in both fundamentals and AI tools will be the ones setting the bar.

We also touch on the future of engineering roles, the evolving skillsets needed, and how this new era mirrors the web development explosion of the early 2000s.

So where is the balance between automation and expertise? What role will junior developers play in a world where AI writes 30 to 90 percent of the code? And is the developer job market on the verge of a dip or about to expand in new directions?

On this episode of Tech Talks Daily, I sit down with Gene Hoffman, CEO of Chia Network, to explore a bold new vision for digital assets, investing, and regulatory-compliant blockchain innovation. 

While much of the blockchain space has struggled with regulatory clarity, Chia has taken a different path, working closely with the SEC and other regulators to ensure long-term viability for the network and its applications. With a groundbreaking joint venture called Permuto, Chia is pushing that vision even further.

Permuto is set to tokenize equity investments directly on Chia’s independent layer-1 blockchain. The first application? Microsoft stock. 

However, rather than simply offering a digital replica of a share, the platform will divide each into separate dividend and growth certificates. This new level of granularity can reshape the way institutions and individuals think about risk, returns, and liquidity. It’s particularly relevant for low-risk investors and retirees looking to isolate stable dividend income without exposure to market volatility tied to growth stocks.

Gene explains how this innovation could signal the next evolution of ETFs, offering flexible investment structures powered by blockchain. He also shares why Chia’s commitment to open-source technology and green consensus mechanisms has allowed it to attract serious institutional interest without compromising principles.

We also discuss Gene’s participation in the SEC’s upcoming Crypto Task Force Roundtable, where industry leaders will explore the convergence of traditional and decentralized finance. With deep ties to the crypto community and regulatory institutions, Gene offers a rare perspective on how to scale new financial tools in today’s regulatory environment responsibly.

Can blockchain finally deliver on its promise of transforming capital markets in a transparent, compliant, and useful way to everyday investors? Let’s find out.

When cybersecurity companies are racing to outpace evolving threats, innovation often starts in an unexpected place: revenue operations. In this episode of Tech Talks Daily, I sit down with John Queally, Senior Director of Revenue Operations at Clari, to explore why RevOps has become a vital engine behind the performance and resilience of cybersecurity leaders.

John brings a unique perspective from his journey through banking, analytics, and enterprise tech. What stands out is how rapidly the RevOps function has matured from a back-office support role to a central, strategic force. Especially in the cybersecurity space, where innovation requires ongoing investment and risk is measured in seconds, the pressure to run efficient, scalable revenue processes has never been greater.

We delve into why clean, trusted data is the backbone of any AI strategy and how 67% of revenue leaders still don’t trust the data they're using. It’s a staggering insight, and one that underscores the urgent need for cross-functional alignment. John explains how RevOps can serve as the connective tissue across sales, marketing, customer success, and finance, moving companies from a place where they're debating the accuracy of dashboards to making real decisions in real time.

He also shares a behind-the-scenes look at Clari’s work with cybersecurity firms like Okta, where implementing balanced pipeline strategies and streamlining task prioritization has unlocked measurable improvements. We discuss the rise of AI, but John doesn’t just repeat industry headlines. He calls out the "unsexy" truth that real AI advantage requires the hard work of data cleanup first and those who do it will pull ahead.

From operational transparency to building trust within revenue teams, this episode challenges assumptions about how data, AI, and RevOps intersect. And for anyone in cybersecurity or enterprise tech wondering how to scale effectively while preparing for what’s next, this conversation offers a grounded and insightful starting point.

Is your company still debating data? Or are you ready to turn trusted insights into action?

In today’s episode of Tech Talks Daily, I sat down with Bulent Cinarkaya, General Manager of Field Service Management at ServiceNow, to explore how AI is transforming the frontlines of field service. Often overlooked in the broader tech conversation, the technicians working outside the office are now seeing real, tangible improvements to their daily workflows thanks to advancements in intelligent automation.

Bulent brings a wealth of knowledge from working closely with global organizations that rely on ServiceNow to improve how they plan, dispatch, and support field teams. We talked about how agentic and generative AI are no longer theoretical tools; they are actively used to predict what technicians will need before arriving, automate access to resources, and reduce inefficiencies in task planning.

One of the most compelling parts of our conversation was how ServiceNow is using AI to improve productivity and enhance the human experience. From easing the onboarding of new technicians to capturing decades of experience from retiring experts, AI is helping teams bridge a generational gap in expertise. Technicians can now rely on intelligent systems to surface the correct information at the right moment, whether through summarizing technical documents or guiding them through complex tasks.

We also discussed the operational impact, with examples from customers like Bell Canada, Coursera, and British Telecom, who are seeing measurable improvements in scheduling accuracy and time to resolution. Bulent stressed the importance of unified data models, integrated platforms, and strong change management as organizations look to scale AI to ensure adoption and success.

This episode is a wake-up call for anyone still on the fence about AI in field service. AI is not only improving technician efficiency, but it’s also helping companies retain talent, meet rising customer expectations, and ultimately future-proof their operations.

So, how ready is your organization to move beyond proof of concept and turn AI into a field-ready advantage?

What does it take to turn a moment of frustration into a global mission to tackle waste? At the AWS Summit in London, I sat down with Tessa Clarke, co-founder and CEO of Olio, to explore how a single idea born on a snowy Swiss street evolved into a powerful tech platform reshaping how communities think about consumption, sharing, and sustainability.

Tessa shared her personal journey, from growing up on a farm where food waste was unthinkable to climbing the corporate ladder before walking away to co-found Olio. That decision came after she was told to throw away perfectly good food while moving house, a moment that sparked an idea and a deeper calling.

What followed was years of research, a grassroots WhatsApp experiment, and ultimately, the creation of an app that now connects millions of users worldwide.

In our conversation, we explored how Olio uses technology to drive real-world change. Tessa explained how AWS has been a foundational partner since day one, helping Olio scale sustainably without compromising its values. She also gave an inside look at how AI is integrated thoughtfully across their operations, from assisting users in listing items faster to detecting potentially unsafe or inappropriate listings before they go live.

What stood out is how intentional Tessa and her team have been in making AI serve the mission, not distract from it. Whether it’s reducing friction within communities or using automation to offset operational challenges, every tech choice is aligned with their goal: to build a waste-free world. We also discussed how AI is helping them break the traditional link between headcount and impact, paving the way toward profitability while staying people-focused.

As Olio aims to reach a billion users by 2030, this episode is a reminder of what happens when purpose and technology meet. Tessa’s story offers a compelling blueprint for founders, technologists, and anyone looking to use digital tools to solve human problems.

How can a simple act of sharing create ripple effects across the world, and what role will technology play in scaling that vision responsibly?

Holography has long lived in the shadow of science fiction, but what happens when it’s finally real  and ready for the consumer market?

In this episode recorded at Tech Talks Daily, I sit down with Darran Milne, co-founder and CEO of VividQ to unpack what sets true holography apart from the gimmicks. With a background in quantum physics and years of technical leadership, Darran cuts through the noise around immersive display technologies and explains how VividQ is building real holographic experiences — not tricks of the eye, but accurate 3D projections that replicate how we naturally see the world.

Darran walks us through the technology powering their recent demo with Call of Duty, showing that VividQ’s tech isn’t just theoretical. It runs on today’s hardware and can convert existing 3D content into holograms without access to the original source code. That changes the game for entertainment, but it’s only the beginning.

We explore where else this could lead: head-up displays in cars that genuinely blend digital directions into the driver’s view, medical devices that eliminate the need for separate testing rooms, and even the idea of holography replacing traditional screens entirely. Darran doesn’t just speculate on the future — he outlines a practical, layered rollout strategy, identifying the industries where the technology can scale first.

This isn’t about chasing hype. It’s about thoughtful engineering and commercial execution. If your business touches gaming, automotive, spatial computing, or XR, this conversation shows why holography may be closer than you think — and how VividQ plans to put it in front of you. Could your next screen be light itself?

What if companies could tap into powerful behavioral AI without compromising user privacy or crossing legal lines? In this episode of Tech Talks Daily, I sit down with Frank Portman, CTO of Yobi, to explore how his team is building foundation models grounded in real user behavior, backed by ethically sourced and consented data.

Frank shares how Yobi is taking a distinct approach. They're not building large language models or racing to dominate generative AI headlines. Instead, they're focused on data integrity, transparency, and security from day one. With a strategic partnership with Microsoft Azure, Yobi delivers models that run directly within a customer’s environment. That means privacy is preserved, data stays protected, and companies still benefit from intelligent, adaptive systems.

We unpack how Yobi avoids risky use cases like financial underwriting and healthcare, how their models are trained to avoid demographic bias, and why they actively reward systems for being bad at guessing personal traits. This isn’t just about compliance. It’s about designing products that work better because they’re built responsibly.

Frank also opens up about Yobi’s internal culture, his belief in first-principles thinking, and how empowering engineers to "place bets" drives innovation. He offers insight into what the AI industry must learn quickly from recent missteps, including data misuse and growing public skepticism.

If you're exploring AI solutions and wondering how to build or buy systems that scale without cutting ethical corners, this conversation delivers clarity, honesty, and direction. Are you ready to rethink what responsible AI should look like inside your company?

When we talk about the future of technology, it is easy to focus on the tools, trends, and innovations that dominate headlines. But behind every breakthrough is a human story, and behind every system are individuals navigating an industry that has not always welcomed them equally. That is why I sat down with Sue Harnett, founder and CEO of Rewriting the Code, to learn more about the real work being done to support and elevate women in technology.

What followed was a wide-ranging conversation that brings clarity to an often-overlooked challenge and offers insight into what real change looks like.

Rewriting the Code is more than a community. It is a global network of over 35,000 women who are united by shared goals and driven by the ambition to create a more inclusive tech industry. Sue shared the origin of the organization, born from her own experiences of feeling out of place in elite academic environments, and how that shaped her commitment to building a culture where young women could grow, thrive, and most importantly, feel like they belong.

Today, RTC is impacting lives across the globe with programs that span mentorship, career development, technical education, and real-world support.

What stood out was the way RTC moves beyond symbolic gestures and instead provides practical pathways. We explored the launch of targeted initiatives like Rewrite AI and Rewrite Cybersecurity, which aim to prepare women for high-demand areas in the industry.

We also discussed the Black Wings program, built specifically for Black women in tech, who represent just two percent of the industry workforce. Through focused community-building and peer support, these programs help dismantle systemic barriers that often go unaddressed.

In a time where many companies are retreating from public conversations about diversity due to political pressure, Sue’s work feels more relevant than ever. She spoke candidly about the fear she’s seeing in boardrooms, the erosion of public DEI commitments, and the quiet but continued support from leaders who still believe in building inclusive workplaces.

Her message to companies was simple: inclusion must be intentional, visible, and connected to the lived experience of the people it is meant to support.

What this episode reveals is not only the importance of creating opportunities, but also the power of belief. The belief that women belong in every corner of the tech world, and that with the right community, mentorship, and visibility, they can redefine what leadership looks like.

So how is your organization showing up for underrepresented talent in tech, and what will it take to turn good intentions into lasting impact?

When we talk about the future of IT services, the conversation often revolves around the potential of AI and automation. But what does that really mean when applied at scale, across legacy infrastructure, evolving customer expectations, and real-world operational challenges?

 In today’s episode, I sat down with Manish Tandon, CEO of Zensar Technologies, to explore that very question. What emerged was a refreshingly pragmatic take on a space often overwhelmed by buzzwords.

Manish leads a global organisation that's helping some of the UK’s biggest businesses not just integrate AI, but rethink the foundation of their IT strategies. We discussed how Zensar is combining automation with a philosophy they call “experience-led everything,” a human-centric approach that puts users, not systems, at the centre of transformation. Through this lens, he explained how seemingly simple shifts like applying AI to reduce technical debt or drive internal engagement can lead to significant performance gains and improved outcomes across entire organisations.

What I found particularly powerful was how Manish challenges the language around AI. He sees today’s wave of generative and agentic AI as an evolution of long-standing automation principles, not a reinvention. That mindset is helping clients cut through the noise and focus on impact, such as faster delivery cycles, measurable productivity boosts, and tools that empower rather than replace human potential.

We also touched on the ethical implications of AI, the nuances of implementation across different geographies, and the value of responsible AI governance at the application level, not just in principle. If your business is looking to adopt AI in a way that scales sensibly while delivering lasting value, this episode offers insights you won’t want to miss.

So how are you preparing to balance automation with empathy in your IT strategy, and are you building for systems or for people?

What happens when automation grows and learns to think, reason, and adapt? That is precisely what I explored in today's episode with Bennet Kumar, Executive Vice President and Global Head of Business Process Services at Hexaware Technologies. As the enterprise world braces for rapid AI-driven change, Bennet joined me to unpack how agentic AI quietly transforms customer experience from the ground up.

Bennet explains how agentic AI is fundamentally different from earlier forms of automation. We go beyond the buzzwords to explore how these intelligent systems retain business context, plan and execute tasks with autonomy, and collaborate with other agents to deliver meaningful outcomes. This isn't just a new toolset for organizations focused on ROI, customer satisfaction, and operational efficiency. It is a new way of working.

One of the most compelling parts of our conversation centered around AI-powered voice translation. Bennet clearly shows what happens when language ceases to be a barrier. Service agents are no longer required to be fluent in dozens of languages. Instead, they can focus on empathy, listening, and resolution while AI handles translation in real time. We also explore how these technologies reduce stress on customer service staff, giving them more meaningful roles and the tools to thrive.

Of course, no digital transformation is complete without understanding the people behind it. Bennet shares thoughtful insights on change management, addressing customer trust and employee concerns. We discuss how AI can empower rather than replace, and why organizations must be intentional about communication, leadership development, and cultural shift.

From multilingual support to hyper-personalized customer journeys, and AI assistants to back-end process orchestration, agentic AI is no longer a future concept. It is already here. But are enterprises prepared for a world where customers and AI agents interact seamlessly, at scale, daily?

What does the rise of intelligent agents mean for your business?

What happens when access to advanced AI models is no longer the real differentiator, and the true advantage lies in how businesses leverage their own data?

At the AWS Summit in London, I sat down with Rahul Pathak, Vice President of Data and AI Go-to-Market at AWS, to unpack this question and explore how organisations are moving beyond experimentation and into large-scale generative AI adoption.

Recorded live on the show floor, this conversation explores how AWS is supporting customers at every layer of their AI journey. From custom silicon innovations like Trainium and Inferentia to scalable services like Bedrock, Q Developer, and SageMaker, AWS is giving businesses the infrastructure, tools, and flexibility to innovate with confidence.

Rahul shared how leading organisations such as BT Group, SAP, and Lonely Planet are already applying these tools to reduce costs, speed up development cycles, and deliver tailored experiences that would have been unthinkable just a few years ago.

A key theme that emerged in our discussion is that data, not just models, is the true foundation of effective AI. Rahul explained why unifying data across silos is critical and how AWS is helping companies create more intelligent applications by connecting what they uniquely know about their business to powerful AI capabilities.

We also addressed the operational realities of AI deployment. From moving proof-of-concept projects into production to meeting the growing demand for responsible AI, the challenges are shifting. Organisations are now focused on trust, security, transparency, and measurable value.

If you're leading digital transformation and wondering how to scale AI solutions that deliver on business outcomes, this episode provides practical insight from someone at the center of the industry. How will your business stand out in a world where every company has access to AI models, but only a few know how to apply them with purpose?

In today’s episode of Tech Talks Daily, I sit down with Christian Reilly, Field CTO for EMEA at Cloudflare, the Connectivity Cloud company, to examine the latest findings from their cybersecurity research and what they reveal about how prepared different industries really are.

While sectors like IT, gaming, and financial services have seen a higher volume of cyberattacks, they also report greater readiness and resilience.

In contrast, industries like education and healthcare, although less frequently targeted, remain far less prepared to defend against growing threats. This gap raises important questions about how organizations approach security depending on their legacy systems, revenue models, and digital maturity.

Christian brings years of frontline experience to the discussion and shares actionable insights into how companies can build cybersecurity strategies that not only protect but also improve performance.

From the shift toward zero trust architecture to the critical role of board-level engagement, we explore how forward-thinking organizations are rethinking the role of cybersecurity in modern digital operations. He explains why simplicity often beats complexity, and how reducing friction for end users is key to long-term resilience.

We also look ahead to some of the key trends shaping the future of security. Christian dives into the challenges posed by emerging technologies such as quantum computing, AI, and the explosion of data generated by IoT and smart infrastructure. He stresses the importance of preparing now for scenarios like Harvest Now, Decrypt Later, and why organizations need to begin thinking seriously about post-quantum cryptography.

On the human side, Christian outlines what effective training looks like today and how to shift employee culture from compliance to awareness.

If you're wondering how to stay one step ahead of evolving threats, this conversation offers a wealth of insight from the heart of the Connectivity Cloud. How is your organization preparing for what’s coming next?

In today's episode of Tech Talks Daily, I reconnect with Abnormal AI's CIO, Mike Britton, to explore one of the most pressing topics in the tech world—AI regulation and cybersecurity.

 Speaking from his base near Dallas, Mike brings a pragmatic perspective shaped by decades of experience at the intersection of enterprise technology and security. As the debate around artificial intelligence evolves, we examine the growing divide between the United States and Europe on regulatory approaches and what business leaders can learn from each side.

While Europe takes a more cohesive, application-based approach, the US remains fragmented, relying on state-by-state policies and sector-specific laws. Mike unpacks why this patchwork complicates global alignment and what an effective risk-based, standardized framework might look like. He argues that regulation must focus on how AI is applied, not just its scale, especially as the technology becomes embedded in everything from healthcare to email automation.

We also touch on the unintended consequences of overregulation, including the risk of pushing innovation into regions with fewer safeguards. As Abnormal Security works with some of the world's largest brands, Mike offers a frontline view into how threat actors are already leveraging AI to outpace traditional defenses. His insights reinforce the need for transparency, human oversight, and "kill switches" to ensure AI remains a tool for good, not a liability.

From real-world examples to strategic recommendations, Mike outlines what CIOs and CISOs need to know now. His advice is clear, grounded, and actionable, whether embracing regulatory sandboxes, staying alert to geopolitical nuances in AI models, or maintaining continuous learning in a fast-moving space.

So, how do we keep innovation ethical and secure in a world where AI is moving faster than ever? And what steps should technology leaders take to avoid falling behind or losing control of the tools meant to drive progress?

As artificial intelligence continues to reshape how we work, lead, and interact, the need for emotionally intelligent and human-centered leadership has never been more urgent. In this episode of Tech Talks Daily, I sit down with Jen Croneberger, the Founder and Chief Inspiration Officer at The Human Leadership Institute, to explore how relational leadership guides organizations through the noise and complexity of rapid AI adoption.

With a background in sports and performance psychology and a career that spans working with elite athletes, government agencies, and global brands like Nike and Samsung, Jen brings a rare perspective to the conversation around AI. She argues that amidst all the automation and data, our ability to build trust, communicate transparently, and stay grounded in shared values will define success moving forward.

Throughout the conversation, Jen makes the case that leaders today cannot rely on technical skills alone. They must create cultures of psychological safety, model adaptability, and foster a clear understanding of how AI can enhance rather than replace human capabilities.

We also dive into some of the more challenging topics, including the ethical implications of AI, resistance to change, and why some employees struggle to see a future where they coexist with intelligent machines.

What I found particularly insightful was Jen's ability to draw parallels between leading teams in high-stakes athletic environments and leading through tech transformation. Whether it's building resilience after a setback or navigating uncertain outcomes with confidence, the same foundational principles apply.

As we look to a future where AI is embedded in every business layer, Jen's message is timely and practical. If you are a leader wondering how to support your teams through disruption without losing the soul of your culture, this episode will give you plenty to reflect on.

How will you lead in a world where machines are intelligent, but people still need to feel seen?

How prepared is your business for a ransomware attack? Not just to prevent it, but to continue operating when it happens. In this episode, I sit down with Trevor Dearing, Director of Critical Infrastructure at Illumio, to discuss the latest findings from their global ransomware report and what they reveal about cyber resilience.

Trevor shares insight from a survey of more than 3,000 organisations across multiple sectors. The most concerning figure is that 58 percent of those impacted by ransomware were forced to halt operations. That number has risen sharply from 43 percent just two years ago. Despite this, many businesses in the UK still avoid reporting attacks, often due to fears around reputational damage or potential retaliation. Trevor explains why that reluctance is misguided and how public support, improved infrastructure, and more explicit government guidance could encourage more transparency.

We also explore the rise of containment as a more practical and cost-effective approach than prevention alone. Rather than trying to stop every attack at the perimeter, organisations are learning how to isolate and limit damage quickly. Trevor explains how zero trust architecture, microsegmentation, and one-click containment tools are being used to keep systems operational even during an incident.

Only 13 percent of organisations believe their cyber resilience exceeds what is required. Trevor helps us understand why this number remains low and where organisations should focus to shift from vulnerability to resilience. From evolving regulations to future applications of AI in security, this conversation covers what leaders need to know if they prepare for the next generation of cyber threats.

To access Illumio’s full ransomware report, visit illumio.com. Is your cyber resilience strategy built for recovery, or just defense?

Amid the buzz of the AWS Summit in London, I sat down with Eiso Kant, the CTO and Co-Founder of Poolside, to explore how his team is reshaping the future of software development through AI. This conversation was recorded right on the show floor inside a surprisingly sleek podcast booth at the ExCel, where Eiso unpacked what sets Poolside apart in a space many claim to be in but few truly build for.

Poolside is not just another AI company. It's one of a handful globally that is actually training foundation models from the ground up. While most firms are chasing general-purpose AI, Poolside has chosen a different path. They focus solely on empowering software developers inside high-consequence environments, such as banking, defense, and major global retailers. These are systems where precision and security matter, and where AI can drive measurable gains in productivity and reliability.

What struck me during this discussion is how deliberately Poolside has been built for enterprise use from the start. Their model doesn’t just live in the cloud. It is designed to live within the customer’s own infrastructure, whether that’s in their private AWS environment or even on-prem. This focus on data privacy, security, and customizability is helping Poolside win trust where it counts most. And the partnership with AWS takes this a step further, making it easier for enterprises to deploy Poolside’s AI within existing cloud frameworks while meeting strict governance requirements.

Eiso explained that Poolside doesn’t just throw larger models at problems. Instead, they use reinforcement learning from code execution, training on millions of real codebases and test suites. This approach helps the model go beyond autocomplete and simple bug fixes. It’s now stepping into longer, more complex tasks, nudging us closer to a future where AI could serve as a true teammate for software engineers.

We also tackled one of the most important discussions in AI today: whether this is a cost-cutting tool or a productivity multiplier. Eiso didn't dodge the nuance. While some may use AI to reduce headcount, Poolside’s focus is on enabling companies to build more, ship faster, and innovate with greater speed. That shift is not about replacing people. It's about creating leverage for development teams under pressure to deliver more in less time.

If you're a CTO, CIO, or engineering leader, this episode is packed with practical insights. Whether it's understanding the ROI of AI-assisted development, the importance of retaining control of your own models, or how to think about enterprise-grade security in the age of LLMs, there's a lot here to digest.

So how should we really be thinking about AI in the enterprise? Is it a partner, a tool, or the beginning of an entirely new workforce paradigm? Tune in to find out.

What if the food you eat could not only affect how you feel today but also determine how many healthy years you’ll have in the future? In this episode of Tech Talks Daily, I sit down with Jonathan Wolf, the co-founder and CEO of Zoe, to explore how advanced science, AI, and data are reshaping our understanding of nutrition and health.

Jonathan shares the remarkable journey of building Zoe from an idea into a leading science and nutrition company that has reached hundreds of thousands of users.

From a background in physics and ad tech to pioneering personalized nutrition, Jonathan has led Zoe through significant milestones, including publishing more than 70 peer-reviewed papers and developing tools that empower individuals to understand their microbiomes, track real-time health markers, and make lasting changes to their diet.

We also dive into the technology powering Zoe's new free app launch in the US, which aims to help consumers see what’s really in their food. Through food photo recognition, AI-driven analysis, and a unique risk scale for processed food, Zoe is offering a tool that could change how people choose what they eat.

Jonathan explains why ultra-processed foods are a major public health concern and how empowering individuals with knowledge is the first step toward lasting change.

Beyond product features, this conversation also unpacks the tension between rigorous scientific integrity and business growth, the importance of behavior change, and the broader implications for public health.

Whether you're interested in the future of AI in healthcare, building a purpose-driven tech company, or simply making smarter food decisions, this episode will leave you thinking differently about what’s on your plate.

How can personalized nutrition move from science labs into daily life, and what role should tech leaders play in that shift?

How do you teach financial literacy to a generation that’s grown up swiping on social media, watching crypto rise and fall, and navigating economic uncertainty before they’ve even finished university? That’s the question Aleksandra Medina set out to answer when she co-founded Frich—a social finance app built with Gen Z in mind.

In this episode, I sit down with Aleksandra, the CPO and co-founder of Frich, to explore how she and her team are redefining financial wellness for the next generation. Born out of a small New York apartment and their own shared frustrations with managing money, Frich isn’t your typical finance app. It gives users a way to benchmark their spending and saving against their peers, sparking conversations around topics often ignored—like how much support you’re getting from your parents, or whether you’re overpaying on rent compared to people your age.

With over 800,000 users and partnerships with banks, credit unions, and fintechs, Frich has become a trusted tool in a space where many young people feel overlooked. Aleksandra explains how her role as Chief Product Officer puts her at the intersection of tech and impact, designing an app that’s as much about psychology and transparency as it is about numbers. We also talk about what it’s like raising funds as a first-time founder during a period of economic headwinds, and why Gen Z’s financial potential is often underestimated.

Throughout our conversation, we explore why open dialogue is key to improving financial well-being and how Frich uses gamified, community-driven insights to make those dialogues easier and more fun. From daily polls to data-driven recommendations, the app flips the script on traditional financial advice, replacing lectures with real-world relevance.

Is Gen Z as financially lost as some headlines suggest? Or are they simply lacking the right tools and data to guide their decisions? Frich is betting on the latter.

Where are you benchmarking your financial reality? And how might a little more transparency change the way you approach money?

In today’s episode, I had the opportunity to speak with Rafael Carazo Salas, a scientist, entrepreneur, and the CEO and founder of CellVoyant. This is a conversation that goes beyond the hype around AI to reveal how machine learning is reshaping the future of healthcare in ways that are both profound and immediate.

CellVoyant, a spinout from the University of Bristol, is using AI and advanced imaging technology to solve one of the most persistent challenges in biotech: the cost, time, and complexity involved in developing cell therapies.

Rafael explained how his team is applying real-time microscopy and predictive AI to monitor and guide cell behavior. This approach doesn’t rely on invasive techniques that destroy the very cells being studied. Instead, it enables a clearer path forward in cell therapy development by understanding how cells behave and adapt over time.

We explored several impactful examples, from CAR-T therapies for blood cancers to emerging treatments for Parkinson’s disease and type 1 diabetes. Rafael drew comparisons to Google Maps, describing how CellVoyant’s platform builds dynamic roadmaps for cell development, allowing scientists to correct course in real time. It’s a shift in how we think about drug development, one that has the potential to lower costs and increase access to life-saving treatments.

Beyond the science, Rafael shared his insights on the UK’s biotech ecosystem, the role of academic spinouts, and why now is a strategic moment for the UK to establish itself as a global leader in AI-powered biotech. As political and economic conditions shift in other parts of the world, he sees a window of opportunity to attract talent, drive innovation, and strengthen commercialisation.

So how far can AI go in transforming biotech, and what role will companies like CellVoyant play in making advanced therapies available to all? Tune in to find out.

What happens when marketing, psychology, and emerging tech converge around a single purpose, redefining the relationship between brands and consumers?

In today’s episode, I’m joined by Jaime Schwarz, a creative force behind Brand Therapy, The TeamFlow Institute, and MRKD.art, whose work is challenging the very foundations of modern brand strategy.

From early days in the advertising trenches to pioneering Web3-native branding frameworks, Jaime brings a fresh take on how brands should evolve in a world dominated by AI, XR, and blockchain.

We unpack the philosophy behind Brand Therapy — not as a gimmick, but as a framework that positions the brand as a living voice within the organization, mediating between company intent and customer expectation.

Jaime explains how the rise of conversational AI and tokenized digital products shifts the entire focus from knowing your customer to understanding your product, not in terms of features, but as vehicles of legacy, collaboration, and value exchange.

Throughout the discussion, Jaime breaks down complex ideas into accessible frameworks, such as the shift from consumerism to “conspicuous prosumerism,” where ownership is just the beginning of the story. Whether it’s a sneaker, a piece of digital art, or an AI-enabled car that remembers your preferences and evolves with you, Jaime shows how technology can enhance brand relationships rather than dilute them.

We also dive into the challenges of co-creation in enterprise environments, why marketers need to rethink what product-market fit actually means in the age of real-time AI interaction, and how NFTs, quantum computing, and immersive experiences are not hype but building blocks of a new economic model. Jaime’s insights offer not just theory but a call to action for companies to stop waiting for the future and start prototyping it.

If you're curious about how the smartest brands are embracing change without losing their core identity, this episode offers a compelling roadmap. And if you're in New York during NYTechWeek, don’t miss the launch of MRKD.dj’s Infinite Drop Live Album — June 6, only 150 tickets available.

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How do you measure the real impact of marketing when every campaign unfolds across multiple channels, mixes digital with physical, and generates more data than most teams can handle? That’s exactly what Abby Kearns and the team at Alembic are tackling. As Chief Technology Officer, Abby is helping build a marketing intelligence platform that doesn't stop at high-level trends or guesswork. Instead, it goes deeper to identify what actions actually drive business outcomes.

In this episode, Abby joins me to explain how Alembic brings together data science, custom-built neural networks, and lessons from pandemic-era contact tracing to solve one of the longest-standing problems in enterprise marketing. By ingesting data from CRM systems, media buys, social platforms, events, and even foot traffic, Alembic identifies causal relationships between brand activities and revenue. It's an approach that has already earned the trust of companies like Nvidia and Delta Airlines.

We also talk about how Alembic uses a combination of deep learning and large language models. While their custom algorithms surface insights and attribute outcomes, the AI layer makes the data digestible for decision-makers. The goal is to help enterprise teams move beyond anecdotal evidence and finally answer the question: what is working, and why?

Abby also opens up about the challenges that come with building and scaling a platform at the edge of what's technically possible. From managing massive data pipelines to keeping pace with generative AI innovation, the team at Alembic is pushing forward fast. This episode is packed with insights for business leaders who want to make smarter marketing decisions grounded in real data, not assumptions.

Are you confident that your marketing spend is delivering measurable value, or is it time to take a closer look at what the data is really telling you?

What if the solution to screen addiction, online bullying, and tech-driven anxiety lies not in removing devices altogether, but in rethinking how we introduce them? That’s the question at the heart of my conversation with Bill Brady, co-founder and CEO of Troomi. In a world where children are spending up to nine hours a day on screens, and where the dangers of unrestricted device access are no longer hypothetical, Troomi offers an intentional and thoughtful path forward.

Bill joins me to share why he believes optimism, not fear, should guide the future of kids and technology. A father of five and a longtime student of digital wellness, Bill created Troomi as a developmental tool. It is a smartphone designed to grow with your child. We explore how Troomi’s Android-based platform allows parents to build a tech environment that is safe, flexible, and adaptable. From contact safe-listing and real-time content filtering to the complete removal of social media, the phone helps kids communicate, learn, and grow without the overwhelming distractions and risks that dominate conventional devices.

This episode also addresses the growing mental health challenges children face, from constant social comparison to online predators. With research showing that most teenagers believe social media negatively affects their well-being, Bill explains why a proactive approach is critical. He offers insights into how parents can strike a balance between digital freedom and protection without isolating their kids from the benefits of modern technology.

We also discuss how Troomi is integrating AI to create a safer online experience through real-time content vetting and educational tools. Bill highlights new features on the horizon and shares the company's plans to expand beyond the United States, particularly to markets like the United Kingdom where demand for healthier tech options is growing.

How can we equip the next generation with technology that supports their growth rather than hinders it?

What if AI could help your content speak every language without losing its heart? In today’s episode, I sat down with Oz Krakowski, Chief Business Development Officer at Deepdub, a company reshaping how stories cross linguistic and cultural borders through AI-powered dubbing. As global demand for diverse entertainment continues to surge, Deepdub is offering studios a new way forward—one that balances scale with emotional fidelity.

Oz walked me through how Deepdub’s platform enables post-production teams to dub content into over 130 languages and dialects, with output that respects the tone and intent of the original performance. This isn’t about replacing human creativity—it’s about integrating it into smarter workflows. Through a hybrid approach, Deepdub fuses cutting-edge AI with seasoned voice actors, directors, and editors to maintain authenticity while massively improving efficiency.

From monetizing dormant titles trapped in single-language formats to opening up live broadcasts for real-time localization, the implications are wide-ranging. Oz also shared how Deepdub Live is already unlocking access to new global audiences for sports, conferences, and beyond—potentially transforming how we experience real-time events.

We also explored the deeper economics of AI dubbing, especially as the cost of localization begins to fall, making it more viable to bring overlooked content into untapped markets. Whether it’s delivering content in regional dialects or enabling personalized voice experiences across industries like eLearning and customer service, the roadmap for AI localization is expanding far beyond the entertainment world.

At a time when studios are re-evaluating their content strategies, Deepdub offers a glimpse of what's possible when AI meets cultural intelligence. Could your next global audience already be waiting?

Have you considered how AI might help your content reach new viewers without losing its original voice?

How do you uncover misinformation and financial fraud hidden in plain sight across thousands of digital platforms during a global election cycle? In this episode, I spoke with Jim Webber, Chief Scientist at Neo4j, to explore how graph database technology is being used to expose coordinated disinformation campaigns, empower AI systems, and help enterprises manage the complexity of modern data.

At the heart of our conversation is the story of the ElectionGraph Project, where Syracuse University used Neo4j's graph technology to investigate political ad spend on Meta platforms. What they discovered was not just political messaging, but sophisticated scams disguised as legitimate campaigns. These efforts, targeting civically engaged users, used merchandise giveaways as a front to harvest credit card details and enroll victims in recurring billing traps. Traditional analytics would have struggled to trace these relationships, but graph databases allowed researchers to map and understand the deeper connections between thousands of entities.

We also unpack how graph technology goes far beyond fraud detection. Jim explains why graph databases are now foundational for businesses building AI systems, particularly those using Retrieval-Augmented Generation (RAG) to reduce hallucinations and improve decision making. Whether it's helping enterprises respond to customer needs or enabling AI agents to take action in real time, graphs provide the structure and context needed for reliable outcomes.

Jim also shares the backstory behind Klarna's data transformation, where the company embraced knowledge graphs at the core of its operations and replaced major systems, including parts of Salesforce. It's a striking example of what becomes possible when a business commits to connected data as a strategic asset.

From misinformation to intelligent automation, this episode dives into the real-world value of graph technology in 2025. Are you thinking critically about how your data infrastructure supports your AI ambitions?

What does digital sovereignty mean in the age of cloud computing, and is Europe finally prepared to rethink its reliance on foreign infrastructure?

 In this episode, I speak with David Michels from Queen Mary University of London about his latest research, which examines the growing demand for sovereign cloud services across Europe. Commissioned by Broadcom but developed independently, the report surfaces at a time when regulators, enterprises, and policymakers are all asking tougher questions about who controls data and how.

David explains why the concept of a sovereign cloud is still poorly defined. Depending on who you ask, it might mean autonomy over data, protection from foreign surveillance, or strategic independence from global superpowers. That ambiguity creates confusion for customers and raises compliance risks in regulated industries.

My guest also addresses one of the most persistent misconceptions in the market: the difference between data residency and data sovereignty. Just because data is stored in Europe does not mean it is immune from foreign access if the provider falls under another country's jurisdiction.

We dig into the practical implications of these issues, including why many organizations are reassessing their risk exposure, particularly in light of extraterritorial legal frameworks like the US CLOUD Act.

David outlines a pragmatic approach to improve clarity without waiting for new legislation. His proposed GDPR-aligned code of conduct would allow cloud providers to transparently demonstrate compliance with European data protection expectations, giving customers a stronger basis for trust and accountability.

This conversation is not about cloud theory. It is about legal risk, operational impact, and policy direction. Whether you're a CIO navigating compliance, a regulator shaping guidance, or a provider building cross-border services, this episode offers a clear-eyed look at the shifting demands of digital sovereignty.

Are European organizations finally ready to take a different path in the cloud?

In today’s episode of Tech Talks Daily, I sit down with Jeff Butler, General Manager of Cask Canada, who shares the story of how he led a tech startup to a standout position in the competitive ServiceNow ecosystem in less than a year.

Listen in to learn how Cask Canada grew from startup to standout in the ServiceNow ecosystem by focusing on people, trust, and AI-driven transformation.

As we explore Jeff’s unique journey from his early days witnessing the birth of Silicon Valley innovation in San Francisco to building a thriving ServiceNow consulting business in Canada, there are lessons here for anyone navigating today’s fast-moving tech landscape.

Jeff offers a first-hand look at the unexpected realities of launching a consultancy in Canada's evolving digital market. Rather than focusing solely on technology, he highlights the power of building genuine, long-term relationships with clients and team members. Throughout our conversation, it becomes clear that success in tech services today is shaped as much by trust, patience, and authenticity as it is by technical excellence.

We also discuss how AI and automation are reshaping ServiceNow-driven digital transformations. Jeff provides valuable insight into how AI is not just enhancing customer service experiences but also beginning to change the way consulting services are delivered. Yet he makes an important point: human oversight remains vital, especially when high-stakes business decisions are involved.

Looking ahead, Jeff reflects on the challenges and opportunities that ServiceNow partners face as AI capabilities mature, integration demands grow, and the implementation partner landscape changes. He also shares how building an elite consulting team required a deliberate focus on culture, communication, and finding people who want to build something bigger than themselves.

What if contracts could do more than sit in a drawer gathering dust? In today's episode, I sit down with Monish Darda, CTO and Co-founder of Icertis, to explore how AI is transforming contracts into powerful, active business assets.

Monish shares how Icertis has evolved from early machine learning models to leveraging large language models like GPT to extract information and true intent from contracts. This breakthrough allows organizations to optimize business relationships, enforce commitments such as sustainability goals, and significantly reduce revenue leakage, often reclaiming up to 9% of contract value.

During our conversation, Monish explains how contracts become first-class enterprise objects actively participating in workflows, shaping how commerce operates at scale. We dive into real-world examples, including how a global pharmaceutical company saves over $70 million annually by optimizing supplier pricing across multiple countries and languages.

Monish also highlights Humana's success in cutting operating expenses by over $125 million by embedding contract intelligence into core processes.

We also unpack the importance of data quality in building trustworthy AI systems. Monish looks at how Icertis ensures clean, actionable contract data through a standard data model, human-in-the-loop verification, and hundreds of thousands of built-in validation rules.

As the world rapidly embraces AI, he shares his vision for a future where AI agents are constrained by the "rules of business" defined within contracts, ensuring responsible and reliable decision-making.

Monish rounds off our discussion with an inspiring nod to Isaac Asimov and the power of storytelling in shaping our understanding of technology's future. If you ever thought contracts were just static documents, this conversation will change how you see them and reveal how AI is reshaping the foundations of enterprise operations.

How is your organization preparing for a future where contracts guide and drive business outcomes?

In today’s episode of Tech Talks Daily, I sit down with Prashanth Chandrasekar, CEO of Stack Overflow, to explore how the rise of AI is reshaping the future of software development and the evolving role of community-driven platforms.

Prashanth offers a grounded view of what is happening behind the headlines as the tech world moves into the third year of widespread AI adoption.

We begin by unpacking how AI is already transforming the way developers work, automating routine coding tasks, while still falling short when it comes to complexity and trustworthiness. Prashanth explains why Stack Overflow is positioning itself as a community and a vital "Knowledge as a Service" platform, integrating with AI tools to maintain trusted knowledge in an age where data quality and source attribution have never been more important.

Our conversation also delves into the growing concern of "LLM brain drain" and the broader data crisis facing AI innovation. Prashanth highlights the importance of human-generated content, even as synthetic data technologies advance. He shares why Stack Overflow's continued investment in community-driven knowledge, responsible AI use, and strategic partnerships with major AI players is critical to maintaining a healthy ecosystem for developers and enterprises.

We also look ahead to Stack Overflow's strategic priorities, including expanding content types, integrating AI into both the public platform and Stack Overflow for Teams, and moving toward a seamless user experience across the tools developers already use every day.

How can businesses balance automation with human insight in their AI strategies? Why is data scarcity a looming issue for AI development? And how is Stack Overflow preparing to lead community and enterprise solutions into the next era of innovation? Let's find out.

How do businesses untangle years of legacy technology without risking everything they have built? Today on Tech Talks Daily, I sat down with Jacek Migdał, founder and CEO of Quesma, to explore this question and discover how his company offers a fresh and pragmatic approach to database migration and optimization.

Jacek shared the story behind Quesma's creation, shaped by his early exposure to databases through his father's work and his own experiences in Silicon Valley.

Through extensive research, he identified a widespread frustration among businesses trying to modernize their legacy systems, often facing high costs, licensing nightmares, and failed migrations. Rather than tearing everything down and starting from scratch, Quesma offers a database gateway that acts as a middle layer, allowing gradual migrations with far less risk.

I learn more about how this technology enables companies to test new systems alongside their old ones, helping to avoid the costly mistakes that have historically derailed so many modernization projects.

We  discussed how Quesma is addressing complex challenges across industries like telecom and travel. Their solution is already providing companies with ten times faster performance while significantly lowering operational costs, all without forcing disruptive system changes.

Jacek also gave a sneak peek into two exciting new products launching soon. SQL extensions with pipe syntax will enrich data directly inside databases, while a feature called "smart charts" will offer AI-powered visualizations for faster, clearer insights.

What makes Quesma truly stand out is its unapologetically pragmatic approach. Rather than assuming a clean, cloud-native environment, Quesma embraces most businesses' messy realities. Their clever use of AI enhances migration processes without relying solely on black box systems, striking a unique balance between speed, reliability, and cost efficiency.

As we look toward the future, Jacek shared how Quesma is pushing forward with open-source initiatives, observability pipelines, and forming consortiums with major players in the tech industry.

With upcoming appearances at major conferences in the United States and Europe, it is clear that Quesma is carving a new path for database modernization.

How could a smarter approach to data migrations change how your organization adapts and grows in a data-driven world?

When building a successful startup, the difference between thriving and failing often lies in understanding the journey itself. Today, I had the pleasure of speaking with Gregory Shepard, the entrepreneur behind "The Startup Lifecycle" and the founder of the Startup Science platform. Gregory's research-driven insights offer a clear and practical roadmap that challenges the myths that have surrounded startup culture for decades.

In our conversation, Gregory shared how his five-year research project revealed why so many startups fail and what can be done to reverse that trend. With data showing that 47.1 percent of startups fail within the first 18 months, Gregory highlights the critical importance of getting the earliest decisions right.

 Overvaluation, misunderstanding capital needs, premature scaling, and neglecting to consider an exit strategy from the start are some common missteps he passionately helps founders avoid.

Gregory also discussed the seven stages of the startup lifecycle he created, paying particular attention to the often overlooked stages of standardization and optimization.

 Rather than rushing from product development to rapid growth, he emphasizes the need to stabilize and streamline operations first to ensure that scaling brings real profitability, not just top-line growth. This mindset shift alone could dramatically alter the success rate of new businesses.

Beyond the book, Gregory has built the Startup Science platform, a comprehensive ecosystem designed to give founders access to mentors, investors, grants, classes, and curated resources all in one place. It is not just about reading a book or attending a workshop. It is about systematically embedding success principles into every aspect of the entrepreneurial journey.

We also talked about the current startup climate and why economic downturns often lead to a surge in entrepreneurial activity. Gregory's advice is simple yet powerful: bunker down, stay focused, and view this period as an opportunity rather than a barrier. Investors still back good companies even when the broader environment feels uncertain.

Throughout our conversation, Gregory's passion for supporting marginalized entrepreneurs and his commitment to the social and environmental impact of startups shone through. His belief that entrepreneurship is a true driver of global progress resonated deeply with me. Every aspiring founder can learn from their structured approach to resilience and success.

For those curious about the real factors behind startup success, I highly recommend checking out "The Startup Lifecycle" and exploring the resources available at GregoryShepard.com and StartupScience.io.

If you are serious about your entrepreneurial dreams, this is one conversation you cannot afford to miss.

How can computer vision and AI reshape the future of coaching, player development, and fan engagement in sports? In today's episode of Tech Talks Daily, I sit down with Lauren Pedersen, CEO and co-founder of SportAI, to explore how AI brings advanced sports analysis to athletes and coaches everywhere, not just to elite professionals.

Lauren shares the inspiring journey that led her from New Zealand to Norway and from NCAA Division 1 tennis player to tech entrepreneur. SportAI is leading a movement to democratize access to professional-grade coaching tools, offering real-time tactical and technical analysis in racket sports like tennis, paddle, and pickleball. 

Using computer vision to track body movement and ball contact points from video alone without the need for wearables, SportAI delivers data-backed insights directly to coaches and players through integrations with camera-enabled courts and coaching platforms.

We also dive into how SportAI's technology serves sports organizations, academies, equipment brands, and broadcasters, providing valuable performance data and creating new revenue streams for local clubs. Lauren talks about the balance between AI and human coaching, how AI enhances but never replaces the coach's role, and why social engagement and player empowerment are at the heart of this sports technology evolution.

Lauren's vision stretches beyond racket sports, hinting at future expansions into golf, basketball, and baseball, wherever repetitive motion training can benefit from biomechanical analysis. As the sports world embraces AI and camera technology at scale, what does this mean for the future of training, competition, and how athletes of all levels experience the game?

Tune in to learn how SportAI makes advanced sports insights accessible to all and what lies ahead for this exciting intersection of sports and technology.

In this episode of Tech Talks Daily, I'm joined by Sunil Singhvi, Head of Arts & Culture at TriliTech, the London-based blockchain hub helping shape the future of digital experiences through the Tezos ecosystem. Sunil brings a rare blend of deep tech, culture, and media expertise, having held senior roles at Twitter, Instagram, and Rarible before joining Trilitech. His mission? To explore how blockchain isn't just about tokens and ledgers but about real human connection, particularly between creators, brands, and their communities.

What stood out in our conversation is how Sunil views blockchain as a vehicle for restoring creative autonomy and rebuilding trust in the creator-fan relationship. Through compelling examples like Manchester United's Fantasy United game and McLaren's collectible-driven fandom, we explore how Tezos enables ownership, co-creation, and authentic engagement that outpaces traditional social platforms and algorithms.

We unpack the evolution of NFTs, moving beyond the speculative bubble of the past into more grounded use cases that offer tangible benefits. From supporting emerging artists through royalty-respecting marketplaces like objkt.com to enabling fans to co-create digital artwork through platforms such as editart.xyz, the conversation highlights a meaningful shift in how digital creativity is produced and experienced.

Sunil paints a future where fans become collaborators and artists regain long-lost visibility into who their supporters truly are. We also reflect on the power of community, where smaller and more engaged groups increasingly matter more than vast but disengaged audiences. And perhaps most importantly, we explore what happens when creative expression is no longer dictated by opaque systems but driven by transparent, decentralized tools.

Could blockchain finally deliver on the promise of a fairer and more inclusive creative economy? And if so, how can artists, brands, and everyday users participate in this movement without repeating the missteps of earlier digital revolutions?

Let us know your thoughts. Could Web3 be the reset button creative industries have been waiting for?

In today's episode, I sat down with Mary Hamilton, Global Lead for Accenture's Connected Innovation Centers, to explore how the landscape of artificial intelligence is shifting.

As we mark the 25th anniversary of Accenture's Technology Vision report, this year's insights reveal a profound transition into an era of AI-powered autonomy—reshaping how enterprises operate and how people and technology work together.

Mary took us inside the key findings from the Tech Vision 2025 report, which is centered on the growing role of AI as a true partner rather than just a tool. From acting as a co-developer to becoming a brand ambassador and even powering robotics in the physical world, AI is on a fast trajectory toward becoming a foundational layer across every business function.

However, Mary made it clear that technology alone isn't enough. Without trust in the systems being built, none of this innovation will land as intended. As she shared, building confidence in AI must be both cognitive and emotional—leaders must ensure that AI systems behave in expected, transparent ways and that people feel confident in their interactions with them.

We also discussed how enterprises can harness what Accenture calls "cognitive digital brains" through multi-agent systems that enable intent-driven rather than instruction-led technology. Mary unpacked how these architectures, combined with AI platforms like GenWizard and SynOps are already transforming how companies create, operate, and innovate.

We explored how brands can differentiate themselves in an AI-first world, where intelligent systems increasingly mediate customer interactions. She explained that one of the most significant risks is that ever sounds sound the same unless companies inject their values and personality into their AI experiences.

We also touched on the rise of general-purpose robots, which have gained specialist capabilities and brought flexibility to logistics and manufacturing. Through examples with companies like KION and Schaeffler, Mary described a future where AI-enhanced robots work alongside humans in more agile, adaptive ways

Finally, we tackled the human side of adoption. Mary shared why upskilling employees, giving them time to experiment, and aligning culture with AI goals are vital for lasting impact. Measuring success in this space requires more than cost savings or productivity gains. Ethical compliance, trust-building, and workforce empowerment are also essential signals that businesses are moving in the right direction.

So, what does it take to turn AI from a buzzword into a practical driver of reinvention? How can leaders build a digital foundation ready for a future defined by autonomy and intelligence? Tune in to hear how Accenture is answering those questions—and helping the enterprise world do the same.

What does it mean to be a digitally engaged customer in 2025? That question sits at the heart of my conversation with Kim Storin, Chief Marketing Officer at Zoom.

Just two days into her role, Kim brings a fresh perspective shaped by decades of experience and a track record of building and transforming iconic brands. She joins me to discuss the evolution of Zoom, the changing expectations of modern customers, and how the CMO role is being redefined in an era of AI-powered transformation.

In this episode, Kim shares how Zoom is expanding far beyond meetings. Most people know Zoom for its video conferencing, but the platform now includes capabilities across events, webinars, contact center, email, scheduling, and employee engagement. Zoom is evolving into a complete communications and collaboration platform, and Kim offers insight into how her team will help shift perception while staying laser-focused on customer outcomes.

We explore the shift from performance-heavy marketing to a more balanced approach that re-centers brand, storytelling, and product alignment.

Kim emphasizes how the modern customer prefers to research independently, often completing most of their journey before ever engaging with a salesperson. This makes marketing more critical than ever, requiring clear, relevant messaging across every touchpoint. She also highlights the need to improve self-service experiences, especially as more enterprises seek the right balance between automation and human connection.

Kim offers thoughtful insights on integrating AI in marketing, not as a replacement, but as a superpower. From content development and competitive analysis to strategic planning, she shares how her teams are already using generative tools to enhance productivity and creativity. 

This episode is packed with real-world observations on digital transformation, customer engagement, and the changing dynamics of marketing leadership.

Whether you're a founder, marketer, or tech leader navigating the future of work, this conversation with Zoom's new CMO will give you ideas to reflect on and strategies to explore. How are you evolving your approach to marketing in a digital-first world?

What does it really take to modernize an enterprise in a world of constant disruption, increasing AI capabilities, and evolving customer expectations? In this episode of Tech Talks Daily, I sit down with Rajsekhar Datta Roy, Chief Technology Officer at Sonata Software, to explore how modernization engineering and responsible AI adoption are reshaping business transformation strategies.

Raj brings decades of experience to the conversation, guiding organizations through the complexities of aligning technology with business value. We begin by unpacking what modernization truly means in today’s environment. Rather than a single event, Raj explains how modernization is a continuous process that blends operational efficiency with agile frameworks and a readiness to adapt to future technologies like AI. 

My guest shares Sonata Software’s structured approach to modernization, designed to generate efficiency from existing systems and redirect those savings into smarter, faster innovation cycles.

We also explore the growing role of generative AI in digital transformation. Raj outlines the importance of moving beyond surface-level applications, advocating for a deeper integration of AI into reimagined business processes. He discusses Sonata’s responsible-first approach to AI, including its governance framework and platform-level deployment strategy that ensures secure and ethical implementation. 

The result is not only a future-ready enterprise, but one that can deliver measurable value through better customer experiences, faster decision-making, and scalable AI adoption.

As we zoom out, Raj highlights key ecosystem shifts, such as the growing importance of cross-industry collaboration and transforming customer expectations in the age of intelligent agents. He also offers advice on how to modernize without disrupting core systems, emphasizing the value of continuous learning, hands-on experimentation, and practical frameworks that reduce time to impact.

If your organization is navigating digital transformation or exploring responsible AI deployment, this conversation offers both a strategic lens and real-world examples to help you move forward with clarity. How are you preparing your technology stack and business processes for what comes next? Let’s continue the conversation.

With over 100 million packages recycled since its launch in 2019, Bower has proven that incentivizing people with real-world rewards can significantly increase recycling rates without building new infrastructure.

From barcode scanning to AI-powered image recognition, the Bower app empowers users to recycle all types of packaging and earn rewards simply by dropping items into ordinary recycling bins. It’s simple, scalable, and working across more than 170 countries.

Berfin Mert, co-founder and COO of Bower, explains how their latest innovations now detect items without barcodes, such as coffee cups, cigarette butts, and batteries. She shares how AI-driven guidance has led to a 32% improvement in sorting rates, and why location-based data is key to building smarter, more responsive recycling systems. 

We also discuss the realities of building a circular economy, the growing role of brands like Nestlé and Varta, and why a purely sustainable pitch isn’t always enough to bring companies on board.

Berfin’s perspective on bridging environmental goals with business realities makes this conversation stand out. She talks openly about expanding their value proposition to include marketing insights and loyalty tools, making the platform attractive to both eco-conscious users and revenue-driven brands.

Toward the end of our chat, Berfin opens up about her own journey, crediting her brother and co-founder as the person who inspired her to take the leap into entrepreneurship. It’s a grounded, honest look at innovation, impact, and the people who help bring both to life.

This episode offers a fresh, practical perspective if you’ve ever wondered how small tech-driven actions can influence global sustainability. Could your packaging be worth something more? Let’s find out together.

Here’s the thing: we all heard Sundar Pichai say that the easy wins in AI have faded and that we may see fewer headline‑grabbing releases from the big players over the next year. That comment feels like a red flag for momentum, but I see it as a green light for action. 

In this episode, I chatted with Rahul Pradhan, VP of Product and Strategy at Couchbase, about how teams can take advantage of this pause to move projects from simple experiments into solid, production‑ready services.

I ask why many organizations hesitate to send their data to public AI endpoints. Rahul explains that when you’ve invested years building data platforms, handing over your proprietary information—even in encrypted form—can feel like handing over the keys to your kingdom. He walks us through how running models inside your security perimeter keeps private data safe and brings up model accuracy since you can tailor inputs and scrub out noise before it ever reaches the inference engine.

Next, we tackle the question of stability. Companies often assume that the path to a live service is straightforward once a pilot works. Rahul warns that managing GPUs, orchestrating models, and serving them at low latency all require skill sets that live at the crossroads of ML engineering and traditional software development.

We round out our conversation by shifting focus from tools to teams. Technology alone cannot carry an AI initiative. We need leaders who set a clear vision, data stewards who govern every data flow, and developers who feel as comfortable writing database queries as they define training pipelines. Rahul offers thoughtful advice on building that culture and shares examples of industries—healthcare, financial services, and retail—where the most far‑reaching uses of AI are taking root.

If you’re wondering how to push your proof of concept into a robust service that customers depend on, this episode is for you. I promise you’ll come away with ideas you can apply tomorrow and a fresh view of why a little breathing room in AI releases can become the launch pad for your subsequent big success.

In this episode of Tech Talks Daily, recorded live at Team '25 in Anaheim, I sit down with Jamil Valliani, Head of AI Products at Atlassian, to unpack the momentum behind Rovo, Atlassian’s bold move to reimagine collaboration through generative AI. But this conversation goes far beyond product features. It offers a glimpse into how AI is reshaping teamwork, decision-making, and even company culture.

Jamil explains how Rovo brings together enterprise-grade search, secure contextual chat, and a new Agent Studio designed to help anyone, from engineers to HR teams, build their own AI teammates. Perhaps most notably, all of this is being rolled out at no additional cost to Atlassian’s paid users. That shift in accessibility marks a clear intent to drive meaningful adoption, not just feature excitement.

We explore why 2025 is being tipped as the year of the AI agent, and how Atlassian is helping businesses move beyond overwhelm and into action. What stands out is how teams are using Rovo not just to save time but to remove the friction that clogs up workdays. Think triaging support tickets, updating status reports, or turning customer insights into ready-to-execute tasks. These are no longer chores left to team members; they are responsibilities shared with intelligent, learning agents that work alongside them.

Jamil also shares some revealing stats. Customers are already seeing up to 2x return on investment, saving over 100 minutes a day, and 85 percent say the quality of their work has improved. That time and mental clarity is giving teams space to experiment, adapt, and create.

So, where should you begin if you're starting your AI journey? And what does it take to build a culture where AI is embraced not just as a tool, but as a catalyst for better work? Tune in, and let us know what your AI-powered future looks like.

What does it take to lead with empathy in a world where AI transforms our work? In this episode, I sit down with Avani Prabhakar, Atlassian's Chief People Officer, to discuss how the company is creating a people-first culture while embracing rapid innovation.

Avani shares how Atlassian is approaching AI not just as a technology shift, but as a mindset shift. When teams see AI as a collaborator instead of a task bot, 90 percent say it improves the quality of their work. That’s not a statistic about productivity. It’s a signal that mindset makes a measurable difference.

We explore how leaders can support that shift. It starts with putting people first and using AI to free up time for creativity and deeper thinking. It also means giving teams permission to experiment, learn from failure, and figure out how these tools fit into their day-to-day work. And it includes being transparent about your own journey. What are you using? What’s working? What lessons can others borrow?

Avani also gives us a look at how Atlassian is rethinking performance and growth in a distributed world. Flexibility, trust, and curiosity are the new foundation for high performance, and the people function is now more connected than ever to the wider business strategy.

If AI is going to be a part of every team’s toolkit, how do we help people feel confident using it? And what kind of leadership does this moment call for? Join the conversation and let us know what you think.

What happens when tools like Jira, Confluence, Loom, and AI-powered agents come together under one unified strategy?

At Team 25 in Anaheim, I sat down with Sanchan Saxena, Atlassian’s Head of Product for Work Management, to explore the company’s new Teamwork Collection and what it means for the evolving nature of collaboration.

With leadership experience at Coinbase, Airbnb, Instagram, and Microsoft, Sanchan brings a pragmatic lens to building products that meet teams where they are. In our conversation, we unpack the thinking behind the Teamwork Collection, a curated set of Atlassian tools designed to help teams work more seamlessly while delivering real, measurable outcomes. This isn’t about adding more tools to the stack. It’s about reducing the noise and giving teams a single, integrated space to plan, document, and communicate with clarity.

We also explore how AI is being used to reduce manual overhead, surface relevant information faster, and make daily tasks feel less like busywork. Sanchan shares practical examples of how companies are already using these tools to boost productivity, make meetings more actionable, and give teams back valuable time. For leaders focused on change management or wrestling with tool adoption, there are actionable insights here on overcoming cultural friction and designing for long-term success.

Recorded live at Team 25, this conversation reflects a broader shift in how work is organized and supported. Whether you’re in IT, product, operations, or leadership, this episode offers a look at how Atlassian is building for the future of work—one where humans and AI collaborate without the chaos.

How are you designing your workflows to stay ahead of that curve? Let’s continue the conversation.

What does it really take to build a software startup that doesn’t crash before it can fly? In this episode of Tech Talks Daily, I sit down with David Hirschfeld, founder of Tekyz Inc., a software veteran who’s spent over 35 years working across more than 90 startups.

From his early days studying physics at UCLA to becoming the top national salesperson at Computer Associates, and later founding and selling his own successful software company, David has seen the full arc of startup life—success, failure, and the lessons in between.

In our conversation, David unpacks the patterns he’s observed over decades in the field and the epiphany that led him to create the “Launch 1st Method.” Rather than falling into the trap of building first and validating later, David’s approach challenges founders to prove product-market fit and generate real revenue before a single line of production code is written.

He shares how this model not only reduces time, cost, and reliance on outside investment, but also offers a better chance of startup survival by confronting real-world customer demand from day one.

We also explore how generative AI is reshaping software development, both in terms of speed and in shifting user expectations. David explains which areas of software development are accelerating most, where AI still struggles, and why even the best tools can't substitute for deep customer insight and thoughtful architecture. He also breaks down the artifacts that distinguish exceptional development teams—from weekly status reports to estimation accuracy—and how these practices shape delivery quality and team alignment.

But perhaps most importantly, David offers a grounded look at what makes founders succeed. He emphasizes the value of falling in love with a problem, not a product idea, and staying relentlessly focused on understanding customers and their willingness to pay. Whether you're just starting out or rethinking your strategy, this episode delivers practical insights on how to derisk innovation, build smarter, and stay resilient in a fast-moving AI era.

Are you building what people need, or what you hope they want? Let’s explore that further.

What happens when one of the world’s most loved productivity tools decides to reinvent itself for the age of AI? At Team 25 in Anaheim, I sat down with Gaurav Kataria, Head of Product for Trello at Atlassian, to unpack the biggest release in Trello’s history and what it means for individuals and teams navigating the chaos of modern work.

Gaurav describes the new Trello as “an AI-powered to-do list,” built not to replace project management tools like Jira but to complement them—especially for those personal tasks, scattered action items, and mental notes that get lost in a sea of email, Slack messages, and SaaS app notifications. With half a million users opting into the beta within 48 hours of launch, it's clear that the new direction is resonating.

In our conversation, we explore how Atlassian is using AI to enhance, not overwhelm, individual productivity—by capturing inputs from everywhere, organizing them intelligently, and helping users block time visually with integrations into Google and Microsoft calendars. This isn’t about automating your life; it’s about giving you clarity and control without friction.

We also talk about how Trello remains deeply personal. From list colors to card covers and mobile widgets, the design philosophy centers on reducing cognitive load and sparking focus. Trello isn’t trying to be a super app. It’s trying to be the app that respects your mental model, works the way your brain works, and empowers you to get meaningful work done on your own terms.

If you’re overwhelmed by task sprawl or skeptical of AI’s growing role in daily workflows, this episode offers a grounded look at what thoughtful, user-centered innovation looks like in action. How do you strike the balance between simplicity, automation, and human creativity? Let’s explore that together.

What happens when four decades of hands-on engineering experience meet today’s fast-moving AI and open-source ecosystem?

In this episode of Tech Talks Daily, I sit down with Paula Paul, Founder and Distinguished Engineer at Greyshore, to explore that intersection. Paula began her tech career in the early 1980s writing code for IBM mainframes and has since become a trusted voice in enterprise modernization, cloud adoption, and open-source governance. Today, she advises organizations on how to build with confidence in an era defined by complex software supply chains, generative AI, and evolving SaaS models.

We recorded this conversation during a time when many organizations are feeling the pressure to adopt AI and modernize legacy systems, but struggle with where to begin. Paula offers grounded insights on how to break down replatforming into value-driven streams and why a “big bang” transformation approach is often more risk than reward. She also talks about the critical role of open source in business today—not just from a tooling standpoint, but in terms of responsibility, transparency, and community.

Paula’s perspective is refreshingly practical. She believes AI is a natural evolution of decades of computing and storage expansion but urges companies to start with targeted experiments and thoughtful team collaboration. She also shares her experiences as a woman in tech since the 1980s, reflecting on what’s changed and what hasn’t and how leadership dynamics continue to shape opportunities for women in the industry.

Beyond the code, Paula draws a fascinating parallel between music and technology. As a board member of the Brookline Music School and an oboe and English horn student, she explores how musical thinking can enhance software development's rhythm, structure, and leadership.

If you’re navigating modernization, curious about AI’s role in development, or wondering how to make open source work for your organization—technically and strategically—this episode has something for you. How are you balancing technical ambition with long-term value? Let’s continue the conversation.

What does it really mean to build software with joy? At the Team 25 event in Anaheim, I had the opportunity to sit down with Rajeev Rajan, CTO of Atlassian, to explore how one of the world’s most influential engineering organizations is redefining developer experience from the ground up.

Rajeev shares how developer joy became a guiding principle for Atlassian, not as a feel-good initiative but as a core driver of performance and innovation. Rather than focusing solely on velocity or throughput, Atlassian measured how productive developers felt in their codebases. That metric has now improved from 49 percent to 75 percent, thanks to a deliberate strategy built on three pillars: better tools, stronger engineering culture, and empowered teams.

We also dive into how this cultural shift helped accelerate the delivery of Rovo, Atlassian’s most ambitious AI product to date. Built-in record time, Rovo didn’t emerge from a top-down push but from an environment where engineers were supported to move fast without cutting corners. That includes training internal teams through AI School, rolling out dev agents, and prioritizing transparency over automation for automation’s sake.

Rajeev also reflects on how India has become a global engine for AI and software development and why Atlassian invests in its global teams with the same level of trust and ownership as any other location. From ship-it hackathons to hands-on leadership and a grounded view of where AI helps and where it still falls short, this conversation highlights what it takes to build modern engineering teams that are both productive and fulfilled.

So, if you’re building AI strategies, leading engineering teams, or rethinking how to scale innovation responsibly, what would change if developer happiness were your benchmark?

What if most product launches fail not because of bad ideas—but because of broken processes? In today’s episode of Tech Talks Daily, I’m joined by Stuart Jackson, Vice Chair of L.E.K. Consulting and co-author of the forthcoming book Predictable Winners (Stanford University Press, 2025). Stuart brings nearly four decades of experience in strategic growth and innovation, and his insights offer a much-needed reframe for businesses navigating the high-stakes world of new product and service development.

We sat down to explore a topic many leaders shy away from: why 70–90% of product launches still miss the mark. Stuart breaks down the structural weaknesses that often derail innovation and explains why relying on gut instinct is no longer enough. Instead, we discuss how a rigorous, data-backed approach—augmented by AI—can dramatically reduce the risk profile of innovation while improving speed, accuracy, and return on investment.

Stuart shares how leading organizations are integrating AI into every phase of their innovation pipeline—from idea screening and predictive analytics to launch planning and ongoing iteration. He outlines the rise of long-horizon thinking and how AI is enabling companies to identify emerging demand signals well before the competition.

What I found particularly refreshing was Stuart’s take on what top innovators do differently. It’s not just about having better ideas—it’s about building the right systems. That means empowering cross-functional teams, systematically disaggregating risk, and knowing when to pivot versus when to persevere.

This conversation isn’t about theory. It’s a pragmatic look at how to move from product guesswork to predictable success—whether you're building in-house or buying through M&A. For founders, product leaders, and anyone trying to modernize their innovation model, this episode offers grounded advice and a clear framework that you can start applying today.

How are you thinking about AI as a tool for risk reduction in innovation? Are your product strategies built for speed or sustainability—or both? Let me know what you think.

At Team '25 in Anaheim, I had the unique opportunity to sit down with Stan Shepard, General Counsel at Atlassian, for a conversation that pulled back the curtain on how legal and technology are intersecting in the age of AI.

Stan’s journey from journalism to law to shaping legal operations at one of the world’s most forward-thinking companies is as fascinating as it is relevant. What emerged from our discussion is a clear signal that legal teams are no longer trailing behind innovation—they’re often at the front of it.

Stan shared how Atlassian’s legal function achieved 85 percent daily usage of AI tools, including the company’s in-house assistant, Rovo. This is remarkable when compared to the industry norm, where legal teams typically lag in AI adoption. Instead of resisting change, Stan’s team leaned into it, focusing on automation for repetitive tasks while reserving high-value thinking for their legal experts.

We explore Atlassian’s responsible tech framework, their principles around transparency and accountability, and how these inform product development from day one. Stan also walked me through how Atlassian is navigating the emerging global regulatory landscape, from the EU AI Act to evolving compliance in the US.

His insights on embedding legal counsel directly into product teams, rather than operating on the sidelines, reveal a model of collaboration that turns risk management into a growth enabler.

For legal professionals, compliance leaders, and tech decision-makers wrestling with how to integrate AI responsibly, this episode offers a grounded, real-world blueprint. It’s not just about mitigating risk—it’s about building trust, preserving human judgment, and future-proofing your operations. If you’re wondering what responsible AI adoption looks like at scale, you’ll want to hear this one.

So how are you preparing your legal and compliance strategy for the AI-powered workplace? Let’s keep the conversation going.

What if cloud storage could be simple, transparent, and genuinely affordable? In this episode of Tech Talks Daily, I sit down with Tommi Kannisto, founder of Storadera a company based in Estonia that's redefining the way businesses approach object storage. I first met Tommi during the IT Press Tour in London, where Storadera's fresh perspective on S3-compatible cloud storage stood out for all the right reasons.

In our conversation, Tommi shares the journey behind building a hyper-converged cloud storage platform that challenges conventional thinking. From eliminating hidden fees to maximizing performance on traditional spinning disks, Storadera is built around an ethos of doing more with less. The platform’s architectural simplicity allows for efficient scaling, reliable performance with small files, and an operational model that avoids complexity by design.

Tommi also walks us through how Storadera handles everything from data durability to sovereignty, with data centers already operating in Estonia and the Netherlands. With growing demand from regions focused on local control of data, we explore the opportunities emerging from geopolitical shifts and increasing global focus on sovereignty. Estonia’s digital-first culture and its thriving startup ecosystem form the backdrop to this innovation, and we discuss how a small country has produced more than its share of tech unicorns.

As we look to the road ahead, Tommi explains how AI might soon play a role in optimizing read and delete operations to push storage efficiency even further. He also touches on the growing interest in Storadera from companies seeking alternatives to US-based hyperscalers and how demand from across Europe is shaping their expansion plans.

If you’re exploring options beyond the cloud giants or curious about what’s brewing in Europe’s fast-growing tech scene, this episode offers a fresh, founder-led view of the storage market. Let me know what resonates with you. Are you considering new storage strategies in light of data locality or cost pressures? I’d love to hear your thoughts.

What if managing databases on Kubernetes didn’t require a team of specialists or endless configuration? In this episode of Tech Talks Daily, I sit down with Tamal Saha, founder and CEO of AppsCode, to explore how his team is building a more intuitive, scalable, and enterprise-ready approach to Kubernetes-native data management.

Recorded during the IT Press Tour in London, this conversation traces Tamal’s journey from Bangladesh to Google, and ultimately to launching AppsCode in 2016. He shares how early experiences with Google's internal systems helped shape his vision for a cloud-native data platform built for modern application environments. What began as an open-source passion project has evolved into a comprehensive enterprise suite that includes solutions like KubeDB, Stash, Voyager, and KubeVault.

We discuss the operational realities of managing databases in Kubernetes—from simplifying provisioning and backups to solving problems around TLS management, multi-tenancy, and even secret rotation. Tamal outlines the benefits of a Kubernetes-native architecture for platform engineers, DevOps teams, and developers who want to deploy faster, automate more, and keep full control over their environments.

With real-world insights from enterprise deployments, including large-scale telcos modernizing their infrastructure, Tamal explains how AppsCode is helping organizations move from ticket-based database provisioning to true self-service. He also looks ahead to what's coming next, including support for vector databases, AI-powered provisioning interfaces, and deeper integrations with open telemetry and observability tools.

Whether you’re running stateful workloads in Kubernetes today or exploring how to modernize your data layer, this episode is packed with insight into building platforms that work with developers, not against them.

So, is it time to rethink your approach to data in the cloud-native era? Let me know what you think.

What happens when the need for rapid AI innovation runs up against the growing pressure for trust, accountability, and compliance? In this episode of Tech Talks Daily, I sit down with Mrinal Manohar, CEO of Prove AI, to explore how risk management can accelerate rather than hinder AI deployment.

Mrinal shares how Prove AI is helping organizations build trust into their AI systems from the start. At a time when businesses are moving AI models into production, yet often lack visibility or safeguards, Prove AI offers a solution grounded in transparency and automation. Their approach uses distributed ledger technology to create tamper-proof audit trails for AI models. This allows teams to focus on innovation while having the infrastructure in place to meet evolving standards and regulatory demands.

We discuss why traditional monitoring techniques fall short in an AI context, especially as models become more complex and decisions happen in real time. Prove AI’s infrastructure is designed to support continuous risk mitigation. By recording every event and decision with cryptographic certainty, they make it possible to prove safety, compliance, and responsible use without relying on labor-intensive manual audits.

Mrinal also explains how Prove AI’s upcoming GRC product aligns with ISO 42001 and helps companies stay ahead of regulatory expectations. Whether you're deploying AI in customer service, manufacturing, or high-risk environments, the platform ensures clear oversight without disrupting speed or agility.

This conversation covers practical examples of AI risk in action, from automated railway inspections to drive-through ordering systems. We also explore how distributed ledger technology is helping redefine AI governance, offering companies a way to move fast with confidence.

If you're scaling AI and wrestling with risk, compliance, or trust, this episode will give you a fresh perspective on how to build guardrails that support growth—not slow it down.

What if the way we work could finally match the way we want to work? At Atlassian’s Team '25, that vision is no longer a distant ideal.

 In this special episode recorded live from the event, I sit down with Anu Bharadwaj, President of Atlassian, for an in-depth conversation about the future of collaboration and the company’s newly formalized System of Work.

Anu offers a behind-the-scenes look at how Atlassian is rethinking productivity through a new lens. We discuss how the System of Work unifies teams, tools, and data to drive meaningful outcomes instead of isolated wins.

Anu explains how this framework was designed to move beyond conventional work management tools, helping teams focus not just on doing more, but on achieving more together.

One of the standout innovations is the Teamwork Graph. Built to provide context across tools and departments, it connects strategy to execution with clarity. We explore how this visibility allows leaders to uncover bottlenecks, align resources, and connect the dots between business goals and day-to-day work.

It’s about making the invisible work visible and measurable. We also dive into Rovo, Atlassian’s new AI teammate designed to elevate rather than replace human contribution. Anu shares how AI tools are being developed to reduce cognitive load, eliminate friction, and give people more time to focus on what truly matters.

 By embedding intelligence directly into the workflow, Atlassian is helping organizations reduce the time lost searching for answers and navigating silos.

For leaders looking to modernize their operations, Anu outlines where to start and what to watch out for. Whether you are overseeing enterprise transformation or leading a fast-moving team, this conversation provides a practical view into how the Atlassian platform is helping organizations unlock better outcomes.

What resonated most for me was the shift from chasing productivity to enabling performance. Atlassian is not just enhancing collaboration—it’s helping reshape how teams think, operate, and scale.

If you're curious about the System of Work, the Teamwork Collection, or what was unveiled at Team '25, this episode is for you. It’s a glimpse into the future of work that prioritizes people, aligns efforts, and enables continuous learning.

Let me know what you think. How are you planning to turn insights into action within your team?

In this episode of Tech Talks Daily, I sit down with James Smith, who leads ThoughtSpot’s business across EMEA. With over 15 years in the analytics space, James shares how AI is shifting the way organizations use data, and why that change is not just about technology, but also about mindset and culture.

James explains how ThoughtSpot is helping businesses move toward a more autonomous model, where AI-powered tools handle repetitive queries and free up analysts for more strategic work. He shares how ThoughtSpot’s “Spotter” tool enables business users to ask and answer their own data questions, helping to reduce the bottlenecks that many central data teams face. But this isn’t about removing people from the process. It’s about enabling better collaboration between AI and human decision-makers, where transparency and context guide smarter actions.

We also talk about ThoughtSpot’s internal motto, “2% done,” and how that mentality drives continuous innovation. In a world that’s changing rapidly, it’s a reminder that staying curious, challenging assumptions, and building from first principles can unlock new levels of performance.

As demand for AI-powered insights increases, James highlights the growing importance of strong data foundations. It’s not enough to just add AI on top. Organizations need to invest in data quality, governance, and flexible platforms that support users at every level of maturity.

From enabling better business decisions to giving non-technical users easier access to insights, James offers a grounded view of what AI can really deliver today. If you’re working to build a data-driven culture, or looking to put more power in the hands of your teams, this conversation offers practical ideas to guide that transformation. How are you preparing your business for this shift in analytics? Let me know.

In this episode of Tech Talks Daily, I sit down with Marc Lueck from Zscaler to explore a security mindset shift that more businesses are beginning to embrace. The conversation revolves around the "Resilient by Design" principle, which encourages organizations to stop relying on reactive threat detection and start building systems that anticipate risk and limit impact from the outset.

Marc explains how today’s cyber landscape demands more than traditional firewalls and legacy systems. He breaks down why Zero Trust should no longer be seen only as a remote access solution, but as a consistent, context-driven access model for all environments. From on-premises communication to lateral traffic between applications, Marc outlines how this model helps reduce vulnerabilities and prevent attacker movement inside the network.

We also dive into the challenges posed by AI-driven attacks, where phishing, malware, and reconnaissance are increasingly automated and customized to each target. With these tactics becoming more advanced, Marc stresses the importance of shifting away from pattern-based detection toward a strategy based on real-time context and intent.

He shares insights into Continuous Threat and Exposure Management (CTEM), a new class of tools that help security teams understand where problems are likely to occur before they happen. This proactive focus is key to designing systems that are resilient under pressure, rather than relying on alerts after the fact.

From his analogies of planning for hurricanes rather than rainstorms, to his thoughts on legacy systems and the future role of automation in threat response, Marc offers a practical look at what resilient infrastructure truly involves.

So the question is, are your systems designed to recover and continue when something breaks, or are they waiting for the next emergency to arrive? Let’s find out.

What if the internet could run fully encrypted computations without sacrificing performance or control? In this episode of Tech Talks Daily, I sit down with Yannik Schrade, CEO and Co-Founder of Arcium, to explore how confidential computing is reshaping the future of digital infrastructure.

Arcium is building what Yannik describes as an encrypted supercomputer, a decentralized network that allows data to stay encrypted even during processing. This approach gives developers and organizations a way to build privacy-first applications across sectors like healthcare, finance, artificial intelligence, and government services.

We talk through how Arcium leverages secure multi-party computation to make this possible and why that matters in a world where sensitive data is often a liability.

Yannik explains how Arcium enables companies to collaborate without revealing proprietary data, and how it allows for mathematically provable trust in digital processes. From private order books in financial systems to AI models that train on encrypted health data, the scope of this technology is already expanding into real-world use cases.

We also explore the importance of decentralization, not just as a technical feature, but as a way to reframe the conversation around digital sovereignty, compliance, and individual freedom. Yannik reflects on his own journey from app developer to cryptography leader, and how his background in computer science, mathematics, and law helped shape his vision for Arcium.

If you’re navigating challenges around data privacy, regulation, or AI ethics, or if you're curious about what confidential computing can unlock, this is a conversation that brings clarity to an area often clouded by hype. What would your organization build if privacy was no longer a limitation but a default capability? Let me know after you’ve listened.

I sit down with Chris Hewish, Chief Strategy and Communications Officer at Xsolla, and Lee Jacobson, Senior Vice President of Business Development for Web3 at the same company. Together, they share how Xsolla is helping game developers adapt to the rapidly shifting digital economy by bridging blockchain innovation with proven business models in the gaming world.

Xsolla is no stranger to transformation. With over two decades of experience and more than 2,500 games monetized through its platform, the company is once again stepping into a leadership role—this time at the intersection of Web3 and gaming commerce.

 One of the headline announcements we discuss is the launch of Xsolla ZK, a new blockchain-powered solution built on ZKsync technology. It’s designed to scale Web3 experiences in a way that’s secure, accessible, and meaningful for developers and players alike.

We explore the "digital backpack" concept that sits at the core of this initiative. This isn't just a marketing buzzword—it’s a player-owned inventory system that gives gamers real control over their in-game assets. Whether it's transferring gear between games or monetizing collectibles in ways previously restricted by walled gardens, this feature signals a shift toward deeper engagement and lasting value.

Chris and Lee also offer a behind-the-scenes look at how direct-to-consumer models like Xsolla’s Web Shop are unlocking new revenue channels for developers. With a fee structure significantly lower than traditional app stores and tools for customized experiences, these platforms are helping studios build stronger relationships with their communities while boosting margins.

Security, transparency, and compliance remain central to the conversation, especially as blockchain adoption grows. We also touch on identity protection through zero-knowledge proofs and what interoperability might look like in a future where players and creators collaborate across an increasingly open ecosystem. From creator monetization to the evolution of in-game economies, this episode is a must-listen for anyone watching the convergence of Web3, blockchain, and gaming. 

What does it take to simplify the chaos of multi-vendor data protection while keeping sovereignty, scalability, and automation firmly in sight?

In this episode, I’m joined by Thomas Bak, CEO of Auwau, to explore how his company’s Cloud Utility platform is helping managed service providers and enterprise IT teams redefine control and efficiency.

I had the pleasure of meeting Thomas at the IT Press Tour, where he shared not only the story behind Cloud Utility but also how Auwau is supporting white-labeling, API-first workflows, and fully integrated billing automation. 

This isn’t about adding yet another tool to the tech stack. It’s about building a self-service-first platform that acts as a single control point for complex, multi-tenant environments. Cloud Utility enables service providers and internal IT departments to operate with greater transparency and agility, from backup and object storage to role-based access and recurring billing.

Thomas also opens up about why many customers still demand on-prem deployments, especially in sectors where data residency and control are non-negotiable. His perspective on how service providers can offer branded experiences for resellers while maintaining central governance is especially relevant in today's compliance-driven climate.

We also discuss how Auwau’s background as an MSP shaped its customer-centric approach to product development, and why flexibility across technologies like IBM Storage Protect, Rubrik, and Cohesity is baked into the product’s core.

If your business is struggling to scale its data protection offerings or looking for better ways to serve distributed teams and clients, this is a conversation you won’t want to miss. How are you future-proofing your infrastructure without losing visibility or control? Let’s explore that together.

What does it really take to expose the criminal underworld operating in the hidden corners of the internet? In this episode, I sit down with Dr. Gareth Owenson, Co-Founder and CTO of Searchlight Cyber, to uncover what’s really happening on the dark web and how organizations can take action before threats escalate.

Gareth has spent more than a decade researching the Tor network and advising governments, law enforcement, and the military on how to track criminal activity online. His work has moved from academia into frontline cybersecurity operations, leading to major breakthroughs including the takedown of a hacker group targeting a national government.

We explore what makes the dark web attractive to criminal networks, how threat actors are evolving, and what defenders can do with early signals from hidden forums, marketplaces, and anonymized networks. Gareth explains how criminals are using Tor to traffic malware, trade stolen data, and build ransomware businesses, and why many organizations still overlook this part of the internet.

Gareth also shares how Searchlight Cyber uses proprietary tools and research to monitor the deep and dark web, turning obscure activity into actionable intelligence for security teams and law enforcement.

If you're responsible for protecting digital infrastructure and you're not factoring in the dark web, you're missing critical context. So how do you turn unseen risks into visible signals before they become full-blown attacks? Let’s find out.

What happens when blockchain meets AI infrastructure at scale? In today's episode, I sit down with Gaurav Sharma from io.net to explore how a decentralized GPU network could reshape the future of machine learning, AI development, and compute accessibility.

io.net has grown rapidly over the past year. With more than 325,000 verified GPUs already in its decentralized network, it's offering an alternative to the high costs and limitations of traditional cloud compute.

What caught my attention is the platform's ability to reduce GPU costs by up to 90 percent, giving startups and researchers access to performance that would otherwise be out of reach. In fact, over 73 partners have already integrated io.net's infrastructure, helping drive month-over-month network earnings growth of nearly 60 percent.

But this conversation goes far deeper than computing. Gaurav walks me through the vision of a more transparent, open, and incentive-driven AI development ecosystem. From its collaboration with OKX to power Web3 infrastructure for AI developers to enabling real-world applications like Zerebro AI agents, io.net is building a new paradigm for how infrastructure should work in the era of intelligent systems.

We also explore the convergence of blockchain and AI and why this isn't just a niche Web3 experiment. It's about creating real incentives for data sharing, enabling collaboration across models, and removing bottlenecks in how builders access the tools they need. Gaurav also shares how the company is evolving from a computing network into a full-stack AI development platform, including tools for no-code agent creation.

So, what will the next generation of AI applications look like when they're powered by a global, decentralized network instead of a handful of cloud giants? And how can developers take advantage of this shift today?

What happens when AI meets the human side of hiring? In this episode, I sit down with Rebecca Carr, CEO of SmartRecruiters, to unpack the shifting role of HR in a rapidly evolving talent landscape. With new research showing that 56 percent of leaders say talent acquisition has become significantly more challenging over the past five years, Rebecca offers a timely and thought-provoking perspective on how AI can help – and where it can’t.

We explore the tension between automation and human connection, and how organizations can strike the right balance to create meaningful candidate experiences without sacrificing speed or scalability. From improving candidate discovery and reducing administrative overhead to using AI to flag unconscious bias in job descriptions, Rebecca shares how SmartRecruiters is pushing the boundaries of what recruiting platforms can do.

We also touch on the implications of generative AI, the importance of explainability in AI-driven decisions, and how HR teams can move from being transactional to truly strategic partners in business. As companies demand more from their hiring processes and the competition for top talent intensifies, the need for smarter tools – and smarter strategies – has never been greater.

If you're in HR, talent acquisition, or simply curious about how AI is transforming the way companies hire, this episode offers both practical guidance and a look at what’s next. What does it take to hire smarter, faster, and more fairly in 2025? Let’s find out.

What happens when the hype around generative AI starts to mature, and businesses begin asking harder questions about performance, risk, and long-term value? In today’s episode, I’m joined by Mike Mason, Chief AI Officer at Thoughtworks, to explore how 2025 is shaping up across the enterprise AI landscape—from the rise of intelligent agents to the growing traction of small, nimble models that prioritize security and specificity.

Mike brings a deep, practical perspective on the evolution of AI inside complex organizations. He unpacks how AI agents are moving well beyond basic chatbots and starting to integrate into actual business workflows—performing as teammates that can reason, adapt, and even collaborate with other agents. We dig into examples like Klarna's workforce transformation and examine how this shift could play out across customer service, internal ops, and software development.

We also look at what’s fueling the boom in open source AI and how companies are navigating the balance between transparency, IP protection, and regulatory readiness. Mike shares why some financial services firms are turning to in-house fine-tuned models for greater control, and how open-weight and fully open-source models are starting to gain real ground.

Another key theme is the momentum behind small language models. Mike explains why bigger isn’t always better—especially when it comes to data privacy, edge deployment, and resource efficiency. He outlines where SLMs can outperform their larger counterparts and what that means for companies optimizing for security and speed rather than brute force compute.

We also discuss Thoughtworks' forthcoming global survey, which reveals a growing divide in generative AI adoption. While mature players are building in bias detection and robust compliance frameworks, newer entrants are leaning toward fast operational gains and interpretability. This gap is shaping how GenAI projects are prioritized across industries and geographies, and Mike offers his take on how leaders can navigate both speed and safety.

So, what role will explainability, regulation, and open ecosystems play in shaping the AI tools of tomorrow—and what should business and tech leaders be planning for now? Let’s find out in this wide-ranging conversation with Thoughtworks.

What does it really take to implement generative AI in a way that balances innovation, governance, and long-term value? In today’s episode, , I’m joined by Emma Irwin, Director of Sales Engineering at Dataiku. With a deep background in enterprise AI and experience supporting major organizations like AVIVA and the NHS, Emma brings a grounded, real-world perspective to one of the most hyped areas in tech today.

While most businesses are ramping up GenAI investments, few have the processes, controls, or workforce skill sets needed to scale safely and effectively. Emma and I dive straight into the challenges that IT leaders are facing right now—from managing LLM usage and controlling cost, to building secure frameworks that actually reduce risk rather than amplify it.

Emma unpacks the three key pillars every organization needs for sustainable GenAI success: access controls that keep your stack flexible, robust discovery mechanisms to document LLM usage across the enterprise, and value quantification to show the real return on AI initiatives. But what really stood out is the need for diverse teams and strong governance models to address bias in AI development. From sentiment analysis to internal chatbots and large-scale summarization use cases, Emma brings a mix of strategy and execution to the conversation.

We also explore the importance of secure sandbox environments, the value of audit-readiness through documentation automation, and why it’s time for every business to move beyond experimentation into a more structured, responsible phase of AI maturity. Emma is also a vocal advocate for women in tech and AI, and shares how mentorship, representation, and inclusive leadership can help shape a more equitable future for the industry.

So what guardrails do you have in place for GenAI? Are you really ready to move from pilot projects to enterprise-scale implementations? This episode is packed with insights for anyone building, managing, or scaling AI across the enterprise.

What if your mobile app could detect bugs, fix UI inconsistencies, and spot user frustration before a user ever reports it? In today’s episode, I sit down with Kenny Johnston, Chief Product Officer at Instabug, to explore how AI is reshaping the way developers build, test, and maintain mobile apps.

Instabug is taking mobile observability to an entirely new level by developing what Kenny describes as “zero maintenance apps.” Powered by on-device AI models, their platform can now detect subtle UX breakdowns, visual design flaws, and even frustration signals that wouldn’t normally trigger crash reports. Whether it’s an unresponsive button, a layout shift, or a broken navigation path, Instabug flags the issue, often before a user ever notices.

Kenny shares how Instabug’s approach to AI is helping development teams move faster and smarter, particularly in high-stakes environments like retail and e-commerce where performance peaks during events like Black Friday or Valentine’s Day. Through real-time crash reporting, automated UI analysis, and deep session insights, developers can spot and solve problems that would otherwise get lost in a backlog or surface in app store reviews.

We also explore the unique pressures of mobile development. With no quick rollbacks and high user expectations, developers need tools tailored to the realities of app store approvals, device fragmentation, and version-specific bugs. Instabug’s platform brings together observability, feedback, and issue reproduction in a way that simplifies the mobile stack and accelerates release cycles.

Kenny draws on his experience at GitLab to reflect on the need to consolidate tools and workflows in mobile development. He offers valuable insights for product leaders and mobile engineers on how to navigate change, evolve their approach, and stay curious in the face of constant technical demands.

So how can your team shift from reactive debugging to proactive experience design? And are you really seeing all the issues your users encounter or just the ones they report? It's time to find out.

What happens when Microsoft joins forces with IGEL to reimagine the future of endpoint computing? In today’s episode, recorded live at IGEL’s Now & Next 2025 in Miami, I sit down with Scott Manchester, Vice President of Windows 365 and Azure Virtual Desktop at Microsoft.

With decades of experience at the helm of virtualization and cloud innovation, Scott brings a grounded yet forward-looking view of how Microsoft is enabling businesses to adapt to the evolving demands of work.

Our conversation explores how Microsoft and IGEL are working together to address real enterprise challenges—from simplifying endpoint management to ensuring high-performance, secure digital workspaces.

We look at how Windows 365 Cloud PC and Azure Virtual Desktop are helping businesses embrace the cloud while navigating the transition to Windows 11. And we discuss the real-world implications of this shift, from extending the lifecycle of devices to increasing flexibility for IT teams and remote users alike.

Scott also opens up about the industries that are leading in cloud workspace adoption—from healthcare systems like Baptist Medical Center to federal agencies and financial services—and how Microsoft is shaping its offerings to meet the distinct needs of these sectors.

We unpack the unique advantages of IGEL’s Linux-based OS, the growing role of zero trust architecture, and why seamless user experiences are no longer optional in the hybrid era.

With new licensing models like Windows 365 Frontline Shared and deeper integration between Microsoft and IGEL, it’s clear this partnership is more than technical alignment—it’s a shared strategy aimed at delivering resilient, secure, and scalable digital environments.

Whether you’re planning your Windows 11 migration or just exploring cloud PCs as part of your future roadmap, this episode is packed with strategic insights from a tech leader who knows how to deliver results. What role will the cloud desktop play in your 2025 strategy?

What does bringing clarity and control to today’s fragmented digital work environments take? In this episode, recorded live at IGEL Now & Next 2025, I sit down with Tommy Walker, Partner CTO at Omnissa, to explore the intersection of user experience, security, and operational simplicity in modern enterprise IT. With career-spanning roles at VMware, Citrix, and Cisco, Tommy offers a real-world perspective on navigating complexity while building meaningful solutions that work at scale.

This is a conversation grounded in reality. We discuss how organizations can move beyond legacy infrastructure and simplify their digital workspace strategy without overwhelming users or IT teams. Tommy shares how Omnissa is helping enterprises shift from scattered tools and outdated workflows to unified, AI-informed platforms that boost both productivity and resilience.

We also unpack the practical steps for tackling challenges like technical debt, the Windows 10 end-of-life transition, and rising pressure on IT to deliver more with fewer resources. Throughout the discussion, Tommy emphasizes the importance of partnerships—not just between vendors, but within the entire IT ecosystem—to deliver outcomes that matter. And yes, there’s also room for a few lighter moments involving drones, endpoint telemetry, and the occasional geek-out over infrastructure design. But at the core of this conversation is a clear message: modern IT is about enabling users without compromising security and simplifying operations without losing flexibility.

If you’re rethinking your endpoint strategy, evaluating your hybrid work approach, or just trying to bring a little more order to the chaos, this episode will leave you with practical insights and maybe even a few new ideas for your roadmap. 

Are you ready to build a digital workspace strategy that actually works? Let’s get into it.

What does it truly take to secure the edge of the enterprise in a multi-cloud, AI-driven world? At IGEL Now & Next 2025 in Miami, I sat down with Marissa Schmidt, Senior Director Analyst at Gartner, to unpack the future of endpoint computing and cybersecurity from a perspective rooted in deep research, hands-on insight, and strategic clarity.

As hybrid work continues to scale and the cloud cements itself as the core of modern infrastructure, new demands are being placed on endpoint operating systems, access frameworks, and cloud security models. Marissa brings a clear-eyed view of what’s working, what’s changing, and what IT leaders need to start doing differently.

In this conversation, we explore how AI is reshaping both attack and defense strategies, why the OS layer has become a strategic asset, and what Gartner is seeing in terms of the biggest shifts in cloud networking and endpoint security in 2025. We also dig into the principles behind zero trust, the realities of managing dozens of overlapping security tools, and how businesses can begin building more resilient, adaptive architectures—starting today.

Marissa also shares insights from her keynote and the Women in Tech panel at IGEL Now & Next, including the importance of authentic leadership, being a continuous learner, and building a strategy that connects real-world data with future-ready infrastructure.

Whether you're navigating cloud transformation, rethinking your endpoint strategy, or trying to make sense of the security demands brought on by AI, this episode offers a sharp, actionable look at where things are heading—and how to stay in front of it.

Are your cloud and endpoint strategies built for what’s next? Let me know your thoughts.

What does it really take to reimagine the future of endpoint computing? In this special episode recorded live from IGEL’s Now and Next 2025 event in Miami, I sit down with Klaus Oestermann, CEO of IGEL, to explore how cybersecurity, digital workspaces, and user experience are being transformed at the edge. Klaus is no stranger to innovation, having spent decades in high-assurance security across critical industries, and now leading IGEL’s mission to simplify, secure, and modernize how enterprises manage endpoints.

Our conversation starts by unpacking the shift from traditional perimeter-based security models to a new way of thinking rooted in prevention. Klaus explains how IGEL's Preventative Security Model addresses modern threats by dramatically reducing the attack surface at the endpoint and flipping the conversation from detection and response to control and containment. With more organizations relying on hybrid work and SaaS-based applications, the endpoint has never been more critical—or more vulnerable.

Klaus also outlines how IGEL OS is supporting everything from virtual desktop infrastructure to secure browsing, while enabling consistent user experiences across cloud, on-prem, and edge environments. But this episode isn’t just about technology. It’s about strategy.

Klaus shares how IGEL is creating meaningful impact by extending device life cycles, cutting hardware replacement costs, and supporting sustainability goals. With Windows 11 upgrades looming and endpoint refresh cycles under pressure, IGEL presents a compelling alternative that balances performance with responsibility.

We also dive into the role of AI, how it's reshaping device requirements, and what it means for endpoint security moving forward. And as IGEL expands its ecosystem and reveals over 20 new announcements at this year’s event, Klaus offers a candid look into what’s resonating with customers—and where the industry is headed next.

So what will define your endpoint strategy in 2025? And is your organization ready to lead from the edge?

What if the next major leap in cybersecurity isn't a new tool but a smarter way to think about the edge? In this special episode recorded live at IGEL Now & Next 2025 in Miami, I sit down with John Walsh, Field CTO for Critical Sectors at IGEL, to unpack the changing face of endpoint security, the rise of zero trust, and the role of AI in shaping both threats and defenses.

John brings a career’s worth of insight across aerospace, defense, and high-assurance systems to a conversation that covers the shifting threat landscape and how IGEL’s preventative security model is helping organizations reduce complexity while strengthening security. He explores the vulnerabilities introduced by hybrid work, BYOD environments, and the increasing reliance on AI models that interact with an enterprise’s most sensitive data.

We dive into how zero trust is evolving from a marketing buzzword into a practical framework built on collaboration, unified management, and strong policy enforcement at the endpoint. John breaks down why zero trust isn’t a single product or checklist but an ecosystem of technologies and partnerships that need to operate together—securely and seamlessly.

He also explains why endpoint security still matters, how most attacks still originate at the edge, and why IGEL’s immutable operating system is designed to shut down threats before they even begin. As AI-powered attacks accelerate, John also discusses the importance of reducing noise for incident response teams and the potential for AI to eventually move from defense to pre-emptive strike.

If you’re leading cybersecurity in government, finance, manufacturing, or any sector with critical infrastructure, this conversation will give you a clearer view of where endpoint protection fits into a secure, cloud-connected, AI-augmented world. What are you doing today to make sure your organization’s edge is ready for tomorrow?

What’s the return on your AI investment? In today’s episode, I’m joined by Varun Bijlani, Global Managing Partner for Hybrid Cloud Services at IBM Consulting, to explore why 2025 is shaping up to be a pivotal year for IT leaders under pressure to deliver stronger, measurable outcomes from technology investments.

While many IT projects have historically delivered modest returns, expectations are rising. With a growing number of executives focused on increasing ROI by 25 percent or more, the ability to connect AI efforts to real business value is becoming non-negotiable.

Drawing on insights from IBM Consulting’s latest book, The Great Tech Reset, Varun outlines how the shift from experimental AI projects to production-level deployment is exposing the cracks in outdated infrastructure strategies. He explains why many businesses are trapped in what he calls a hybrid by default architecture, and how that limits the potential of generative AI. Instead, he advocates for a hybrid by design approach, one that aligns cloud infrastructure with AI goals from the outset.

We discuss the organizational mindset shifts needed to move from fragmented systems to intentionally built environments that scale with innovation. Varun also shares real-world examples of companies achieving returns as high as 3.3 times their investment through more intentional planning and execution.

As IT leaders look to reset priorities for the year ahead, how can they build the kind of foundation that allows AI to thrive? And what steps can they take today to ensure their technology choices drive value, not just cost?

What can the UK learn from the Nordic approach to manufacturing—and how can technology play a central role in revitalising the sector? This week on Tech Talks Daily, I sat down with Simon Ranyard, Managing Director for Northwest Europe at Orange Business, to explore the strategic differences between two regions facing similar challenges but moving in very different directions.

Simon brings a unique cross-regional view, overseeing Orange Business operations across the UK, Ireland, and the Nordics. While labour shortages and productivity declines are shared concerns, Simon explains why Nordic manufacturers have responded with long-term investments in digitisation and automation, creating not just gains in efficiency but also a rise in high-skill employment. In contrast, many UK firms are still defaulting to short-term headcount increases, missing the bigger opportunity.

We discuss the data behind the divergence, including why Sweden has three times the robot density of the UK, and what that means for output and workforce transformation. Simon highlights how automation isn't about job replacement, but role elevation—moving people away from repetitive tasks and into positions that require critical thinking and collaboration with advanced tools.

He also shares practical insight into how technologies like 5G, AR, and IoT are reshaping production environments, lowering operational costs, and helping companies stay competitive globally. With government-backed reskilling initiatives and AI now moving from theory to application, Simon makes the case for UK manufacturers to adopt a more strategic, future-facing mindset.

If you work in manufacturing, policy, or are simply curious about how different regions are using tech to solve shared problems, this episode offers real-world perspective and tactical advice. What kind of investment decisions will define the next decade of UK industry—and can a mindset shift help close the productivity gap?

How do you turn AI investment into measurable outcomes, not just inflated expectations? In this episode, I’m joined by Dennis Woodside, CEO of Freshworks, to unpack how mid-sized businesses can move fast with AI, show results quickly, and stay competitive without enterprise-level complexity or pricing.

Dennis shares how Freshworks is helping companies achieve real productivity gains and customer support improvements through accessible, enterprise-grade AI tools. With solutions that boost agent performance, reduce repetitive tickets, and deliver useful insights to managers, Freshworks is proving that you don’t need to be a tech giant to see value from AI.

We also explore the challenges that hold mid-market businesses back from adopting AI, and how Freshworks is helping them overcome barriers with tools that are fast to implement, easy to evaluate, and flexible enough to grow with the business. Dennis also reflects on what the industry can learn from customer case studies, including how one company achieved over 250 percent ROI and saved $100,000 annually by streamlining support with AI.

If your business is exploring how to make AI work without long timelines or runaway budgets, this conversation offers a grounded view into what’s working—and why. Are you measuring real return on AI in your organization, or just chasing the trend?

Why do so many businesses struggle to turn insight into impact? At the X4 Summit in Salt Lake City, I sat down with Adam Hagerman, UX Research Director at Indeed, for a refreshingly candid conversation about how his team has helped reshape the company’s approach to research, collaboration, and decision-making.

In a tech culture that values autonomy and individualism, aligning people around a shared understanding of user needs is no small feat—but it’s exactly what Adam has been working on.

In this episode, we unpack how Indeed built a shared research framework that breaks down silos, creates a common language, and encourages teams across the business to talk to one another in more meaningful ways. Adam shares how his team tackles the challenge of information overload by focusing on relevance over volume—and how measurement itself becomes a shared system of accountability across functions.

We also discuss the evolving role of AI in research, including how Adam’s team uses it to reduce cognitive overhead, accelerate workflows, and spark better questions. But perhaps most importantly, Adam talks about the mindset shift needed in times of rapid change—and why embracing uncertainty and remaining curious is more productive than clinging to old ways of working.

Whether you’re a UX leader, researcher, or business decision-maker looking to get more from your data, there’s plenty here to reflect on. How do you ensure your insights aren’t just collected, but acted on? How do you build trust in research across teams? And how can we all get better at asking, “What problem are we actually trying to solve?”

Let me know what resonated with you. What challenges have you faced in translating research into action within your own organisation? I’d love to hear your thoughts.

How do we build high-performing teams in a world where colleagues might never meet face to face? 

At the X4 Summit in Salt Lake City, I caught up with two standout voices from Atlassian—Molly Sands, Head of the Teamwork Lab, and Emma Crockett, Head of People Insights. Together, they bring a rich mix of behavioral science, experimentation, and data-driven strategy to the future of work. In this episode, we unpack what it really takes to design distributed work environments that foster both productivity and connection.

Molly shares how her team studies internal and external teams to understand what drives collaboration in a hybrid world, while Emma reveals how Atlassian turns insights into action by grounding people strategies in measurable outcomes. We talk about clear goal setting, the power of asynchronous communication, and how the physical workspace itself can evolve to support a flexible, purposeful culture.

But this isn’t just about metrics and models—it’s about human connection. From a delightful experiment involving “Chief Vibes Officers” and quirky team questions, to Atlassian’s scrappy and iterative approach to designing new ways of working, this episode offers real-world ideas for reimagining how teams collaborate.

We also explore the pitfalls of defaulting to old habits like Zoom fatigue and information silos, and what it takes to fix them. As we touch on people analytics, the role of trust, and the impact of thoughtful measurement, Molly and Emma remind us that even with AI and automation in the mix, work is still about people.

So, if your team is struggling with how to work better together—whether you’re all remote, hybrid, or co-located—what lessons could you take from Atlassian’s approach?

Let us know your thoughts. How is your organisation adapting to the realities of modern teamwork?

What does it take to keep a 40-year-old brand rooted in nostalgia relevant in a rapidly evolving, tech-driven world?

In this special episode recorded live from the X4 Summit in Salt Lake City, I sit down with Maggie Stafford, Vice President of People Insights at Hagerty, to explore how a company best known for classic car insurance has become a technology-enabled, community-powered lifestyle brand for auto enthusiasts.

From cloud-based transformation to one-on-one customer experiences, Maggie shares how Hagerty is modernizing its approach to customer and employee engagement—while staying true to its mission to "save driving."

We discuss the evolution of Hagerty’s digital experience, including their $20 million investment into a modern tech stack, designed not only to improve operational efficiency but also to meet growing member expectations.

Maggie also gives a behind-the-scenes look at how the brand’s culture—one where employees learn to drive stick and take collector cars for a spin—shapes everything from customer service to product development.

You'll hear how community remains the beating heart of the business, with more than 850,000 Hagerty Drivers Club members connecting at grassroots events and exclusive experiences like the Festival of the Unexceptional and Amelia Island Concours. We also explore how Hagerty is using data and insights to prepare for the future of car culture, at a time when automation, electrification, and driverless vehicles are becoming the new norm.

So how does a brand that celebrates the visceral joy of driving stay relevant in an era of AI and autonomy? And what can other businesses—especially those outside the traditional tech space—learn from Hagerty’s approach to transformation and loyalty?

Tune in to find out, and don’t forget to share your thoughts: how do you balance tradition with innovation in your business?

Can AI truly revolutionize customer experience, or is it just another overhyped tech trend? While most organizations recognize AI’s potential, many are still struggling to scale AI beyond pilot projects. So, what’s holding them back?

In this episode, recorded live at the X4 Summit in Salt Lake City, I sit down with Isabelle Zdatny, Head of Thought Leadership at Qualtrics XM Institute, to explore the $860 billion opportunity AI presents for customer experience. We discuss why only 12% of organizations have a company-wide AI strategy, the disconnect between AI ambition and execution, and how companies can break free from what she calls "pilot purgatory."

Key topics include:

• The three biggest ways AI will unlock business value—from productivity gains to revenue growth and operational efficiency.
• Why AI needs to be top-down and outcome-focused—not just a shiny tech experiment.
• The rise of Agentic AI—AI that doesn’t just assist but autonomously manages entire workflows.
• How leading companies are using AI to predict and prevent customer churn, personalize interactions, and optimize operations.
• The biggest myths about AI in CX—and why you don’t need perfect data to get started.

As AI reshapes how businesses engage with customers, companies that act decisively and strategically will gain a significant competitive advantage. But will they move fast enough?

Tune in to hear real-world insights, case studies, and expert advice from Isabelle on how businesses can turn AI potential into real impact—before their competitors do.

Many businesses have embraced automation, but disconnected systems and fragmented workflows still create inefficiencies. In this episode, I sit down with Charles Crouchman, Chief Product Officer at Redwood Software, to explore how organizations can build an automation fabric. a unified approach that connects processes across legacy infrastructure and modern cloud environments.

Charles explains why automation fabrics matter, how businesses can identify the best processes to automate, and why a well-structured roadmap is crucial for long-term success. He also shares insights on industry trends, including the growing role of AI in automation and how Redwood's approach enables enterprises to scale with confidence. With Redwood's recent acquisition by Vista Equity Partners and Warburg Pincus, the company is poised for even greater innovation and expansion.

We also dive into the future of automation, the balance between AI-driven decision-making and human oversight, and what businesses should consider when integrating automation across departments. Whether you're just beginning your automation journey or looking to refine your strategy, this conversation provides a practical guide to building a resilient, scalable automation framework.

Could automation fabrics be the missing piece in your digital strategy? Tune in to find out.

When a cyber crisis strikes, leaders face intense pressure to make rapid decisions that can determine the fate of their organizations.

 In this episode, I sit down with Dan Potter, Senior Director of Operational Resilience at Immersive, to explore how leaders can effectively manage high-stakes cyber incidents. From major crises like MOVEit and Log4J to the evolving landscape of AI-driven threats, Dan shares practical insights on what businesses can learn from past events to strengthen their response strategies.

We discuss the key components of a well-structured decision-making framework, how to maintain strategic focus under pressure, and why trust and psychological safety within teams are essential during a crisis. Dan also walks us through a checklist for effective leadership before, during, and after a cyber event, emphasizing the importance of continuous, hands-on training to build organizational resilience.

With cyber threats becoming more sophisticated and unavoidable, organizations need more than just technical defenses—they need leaders who can navigate uncertainty and execute decisive action. Tune in to learn how to transform crisis management from a reactive scramble into a well-prepared, strategic response.

Are today’s business leaders truly ready for the next cyber crisis? Let’s find out.

Online reviews shape consumer trust, but what happens when those reviews can’t be trusted? In this episode, I sit down with Anoop Joshi, Chief Trust Officer at Trustpilot, to discuss the ongoing battle against fake reviews and the role of AI in both creating and detecting fraudulent content.

With over 300 million reviews on its platform, Trustpilot has been at the forefront of combating fake reviews, recently winning 10 legal cases in the UK against bad actors. As the FTC cracks down on deceptive review practices with fines of up to $50,000 per violation, businesses must rethink their approach to online credibility. Anoop shares insights on what this regulatory shift means for companies and how Trustpilot’s AI-driven approach is evolving to stay ahead of generative AI-generated fake reviews.

We explore how Trustpilot’s transparency efforts led to the removal of 3.3 million fake reviews last year alone and why a combination of AI, metadata analysis, and human oversight is critical for maintaining trust online. As AI-generated content becomes more sophisticated, Anoop also sheds light on emerging trends and the growing need for regulatory adaptability.

If online reputation matters to your business—or if you’ve ever wondered how review platforms separate real feedback from deception—this episode is packed with insights you won’t want to miss. Could AI ever be trusted to fully police itself, or will human intervention always be required to maintain trust?

The future of medicine is being shaped by technology, and few companies are pushing the boundaries like GSK. In this episode, I sit down with Christopher Austin, Head of Research Technologies at GSK, to explore how AI, data science, and cutting-edge digital capabilities are revolutionizing drug discovery and development.

Chris shares how GSK is harnessing vast datasets, AI-driven insights, and genetic validation to speed up the identification of promising drug targets. We discuss how computational biology and machine learning are dramatically reducing the time it takes to develop new treatments—sometimes cutting discovery timelines in half. From selecting the right molecular designs to improving patient identification for clinical trials, technology is streamlining the entire R&D process, increasing success rates, and ultimately bringing life-saving medicines to patients faster.

We also dive into the role of generative AI in modeling diseases, designing antibodies, and optimizing clinical trials. With AI now shaping everything from drug formulation to patient recruitment, we explore what this means for the future of medicine and the ethical considerations that come with such rapid advancements.

How will AI-driven drug discovery change the pharmaceutical industry in the next decade? What challenges remain in integrating these new technologies into traditional research models? And what does all of this mean for patients and the future of healthcare? Tune in to hear how GSK is leading the charge in transforming medicine through technology.

AI is transforming the way we experience storytelling, and few people understand this shift better than Geoff Thatcher. As the Creative Director behind the GAME ON! AI Experience at the College Football Hall of Fame, Geoff is pioneering how AI can place visitors at the heart of an attraction—turning spectators into active participants. In this episode, we explore the intersection of AI, immersive storytelling, and the evolving expectations of audiences.

Geoff shares how AI-powered personalization is reshaping museums, theme parks, and live experiences, making guests part of the narrative rather than just observers. From scanning faces to seamlessly integrating visitors into game-day experiences, he explains how technology is allowing brands and institutions to scale engagement like never before. But as AI deepens immersion, it also raises questions—how far will audiences expect personalization to go? Will simply watching a story unfold ever be enough again? And what ethical and creative challenges come with placing visitors inside historical exhibits, theme park rides, or even feature films?

We also dive into the economics of AI-driven experiences. How does AI influence the way attractions are designed, priced, and operated? Can small museums and local attractions afford to implement these innovations, or will personalization remain an exclusive luxury for major brands? Geoff brings his extensive experience in experiential design to shed light on how AI can be a tool to connect people through storytelling—when used thoughtfully.

If you’ve ever wondered about the future of immersive entertainment, AI in storytelling, or how technology is redefining guest engagement, this episode is one you won’t want to miss. Will the experiences of tomorrow demand that we step inside the story? Tune in to find out.

In this episode of Tech Talks Daily, I sit down with Cerisse Velasco, Director of Midwest and Retail Media Brand Partnerships at Zynga, to explore how mobile gaming is reshaping digital advertising and brand engagement.

While gaming has long been associated with teenage boys in basements, the reality is quite different—Zynga's audience is predominantly Millennial and Gen X women, a demographic that’s often overlooked in marketing strategies. With mobile games like Words with Friends, Game of Thrones: Legends, and Match Factory, Zynga has built a massive entertainment platform where brands can authentically connect with engaged consumers.

We discuss how mobile gaming offers a "leaned-in" advertising experience, with players actively engaging rather than passively scrolling. From rewarded video and interactive formats to in-game integrations, Zynga is pioneering innovative ad strategies that feel natural within the gameplay, rather than interrupting it. A recent partnership with The Real Housewives is a perfect example of how brands are rethinking their approach to mobile gaming, tapping into a highly influential and purchase-driven audience.

Beyond traditional advertising, we also explore the future of gamified brand experiences, AI-powered personalization, and retail media integrations within gaming. As mobile gaming continues to dominate screen time, brands that embrace these new engagement models will have a significant edge in the evolving digital marketing landscape.

How can brands create authentic connections with audiences in gaming environments? And what does the future hold for advertising in mobile entertainment? Tune in to hear Cerisse Velasco's insights on the changing face of digital engagement.

AI is transforming businesses' operations, but are executives ready to lead this revolution? In this episode, I sit down with Greg Shove, CEO of Section, to discuss the most significant mistakes leaders make when adopting AI and why many companies are falling behind despite all the hype.

Greg, a seasoned entrepreneur and AI strategist, shares why leaders must go beyond buzzwords and get hands-on with AI to drive real impact. He explains how organizations can build a scrappy but effective AI strategy, why CFOs increasingly embrace AI-driven efficiency, and what that means for future jobs. We also discuss how AI reshapes everyday decision-making, from the workplace to personal productivity.

Beyond the corporate world, Greg highlights a more significant concern—Big Tech's control over AI. Drawing from past experiences in Silicon Valley, he warns that AI might follow the same playbook as social media and cloud computing: get everyone hooked, then raise the price. If AI becomes indispensable, are businesses at risk of outsourcing too much cognition to just a few dominant players?

From AI's impact on job security to how leaders can create an AI-powered workforce, this conversation challenges conventional thinking on AI adoption. Whether you're an executive looking to integrate AI into your strategy or an employee navigating the shift, this episode is packed with insights to help you stay ahead.

Is AI genuinely democratizing knowledge, or are we just making ourselves more dependent on a handful of companies? And how can leaders ensure they're leveraging AI as a strategic asset rather than just another tool? Tune in to find out.

The travel industry is at a turning point. While demand for seamless, personalized experiences has never been higher, many airlines, hotels, and travel businesses are still operating on decades-old technology that hinders innovation. In this episode, I sit down with Somit Goyal, CEO of IBS Software, to explore how the industry can break free from legacy systems and embrace a digital-first future.

With a background that includes over a decade at Microsoft and now leading one of the biggest travel tech firms, Somit shares his perspective on why true transformation requires more than just new software—it demands a shift in mindset. Too often, businesses treat modernization as an IT project rather than a full-scale business transformation. He explains why travel companies need strategic partners, not just vendors, to guide them through complex transitions, help them make tough choices, and build future-ready technology solutions.

We discuss how airlines and hospitality brands can rethink their operations, from passenger experiences to loyalty programs, and how AI and data-driven personalization are shaping the future of travel. Somit also highlights why listening—rather than talking—is one of the most powerful tools leaders can use when engaging with customers and making key business decisions.

With IBS Software at the forefront of digital transformation in travel, this conversation sheds light on what’s next for the industry and how companies can stay competitive in an era of rapid technological change. How can travel brands overcome legacy tech obstacles? What role will AI play in the evolution of airline retailing and hotel management? And why is a strategic, long-term approach essential for success? Tune in to find out.

In today’s hyper-connected world, the explosion of IoT devices is reshaping the cybersecurity landscape—but are businesses keeping up? In this episode of Tech Talks Daily, I sit down with Paul Savill, Global Practice Leader of Networking and Edge Compute at Kyndryl, to explore why traditional IT security strategies are no longer enough.

With IoT-related cyberattacks rising at double-digit rates year over year and the global number of IoT devices projected to reach 25.4 billion by 2030, enterprises face mounting challenges in securing their networks.

Paul shares insights into the biggest threats organizations are grappling with, including the growing risks of social engineering attacks, outdated infrastructure, and the widening gap between IT and OT security. With 44% of enterprise technology now considered “out of life” and unsupported by vendors, businesses are unknowingly leaving themselves vulnerable to increasingly sophisticated cyber threats.

We also discuss Kyndryl’s cybersecurity training program, which has driven a fourfold increase in employee-reported phishing incidents—a testament to the importance of ongoing education in strengthening enterprise security. Paul highlights the crucial role of Zero Trust and SASE architectures in modern network defense, using Kyndryl’s own post-IBM spin-off transformation as a case study for successfully shifting to a cloud-first, AI-driven security approach.

How can organizations modernize their infrastructure to stay ahead of evolving cyber threats? What steps should enterprises take to integrate IT and OT security more effectively? And how can AI-powered security tools help businesses navigate this rapidly changing landscape?

Tune in to hear Paul’s expert take on building a resilient, future-ready cybersecurity strategy.

How can women in tech overcome imposter syndrome, build confidence, and support the next generation of leaders? In this special International Women’s Day episode of Tech Talks Daily, I sit down with Stacey Fournier-Thibodaux, President of Cask NX, to discuss the challenges and opportunities women face in the technology and consulting industries.

With over 20 years of experience in professional services, global IT service delivery, and leadership at the largest pure-play ServiceNow partner, Stacey shares her personal journey from self-doubt to executive leadership. She offers practical insights into how women can navigate imposter syndrome, shift their mindset, and cultivate resilience in fast-paced, high-pressure environments.

We also explore the role of mentorship, representation, and psychological safety in creating inclusive workplaces. Stacey shares real stories of women she has mentored into leadership roles and provides actionable strategies for those looking to take bold career leaps. Whether you're an aspiring leader or looking to empower the next generation, this conversation is packed with valuable lessons on career growth, confidence, and fostering a more supportive tech industry.

As we celebrate Women’s History Month, what steps can businesses take to retain and elevate diverse talent? How can leaders create environments where everyone feels seen, heard, and valued? Tune in to hear Stacey’s insights on building a stronger, more inclusive future in tech.

How are fan relationships reshaping the music industry and beyond? In this episode of Tech Talks Daily, I sit down with Nick Holmstén, the visionary behind Spotify Playlists and former Global Head of Music at Spotify, to explore how fandom is becoming the driving force behind brand and artist success.

Nick shares his journey from building Tunigo—acquired by Spotify to leading TSX Entertainment in Times Square and now focusing on the future of artist-fan connections. With streaming, social media, and emerging technologies shifting the power dynamic, fans are no longer passive listeners or consumers. They’re shaping culture, promoting artists, and setting new industry trends.

We discuss how the rise of independent artists and direct-to-fan platforms is changing music distribution, why brands should rethink their audiences as communities rather than customers, and how blockchain could introduce new transparency and reward systems for engagement.

Nick also shares insights from his new book, Fan-Powered Futures, which explores how companies and creators can thrive in this new landscape.

With more industries embracing engagement-driven models, what lessons can businesses take from the evolution of the music industry? And how will AI, Web3, and digital innovation further transform entertainment? Tune in to hear Nick’s thoughts on what’s next for artists, brands, and fan-powered economies.

How is open source shaping the future of technology, governance, and AI regulation? In this episode of Tech Talks Daily, I sit down with Amanda Brock, CEO of OpenUK, to explore the evolving role of open source in the age of AI, the shifting geopolitical landscape, and the ongoing push for diversity in tech.

Since our last conversation, AI has taken center stage, raising urgent questions about transparency, intellectual property, and the future of open innovation. Amanda shares insights on how OpenUK advocates for open technology frameworks, the importance of sustainable funding for open-source projects, and the growing influence of standards in shaping global AI policy. She also discusses the UK's unique position between the EU's regulatory-heavy approach and the US's innovation-driven model—offering a glimpse into how policymakers grapple with the balance between governance and technological progress.

With the episode airing on International Women's Day, we also dive into the state of diversity in tech. While open source has historically been a gateway for talent from all backgrounds, Amanda highlights the challenges ahead as many organizations scale back DEI initiatives. She shares how OpenUK fosters inclusivity through events like State of Open Con and why open source remains a critical entry point for aspiring developers worldwide.

We also discuss the AI Action Summit and its impact on global AI policy, the rise of open-weight AI models, and why the phrase "tools, not rules" could define the future of AI governance. 

Amanda also discusses her work on AI openness at AI for Good in Geneva and sustainability initiatives at COP30 in Brazil. She also shares how businesses and policymakers can contribute to a more open, collaborative future.

How can open source drive innovation while ensuring accountability in AI? And what role will the UK play in shaping the global tech landscape? Tune in for a thought-provoking discussion with one of the leading voices in open technology.

How can something as simple as returning a lost item transform customer experience and brand loyalty? In this episode of Tech Talks Daily, I sit down with Skyler Logsdon, CEO & Co-founder of Boomerang, to explore how his company is redefining the lost & found process through AI-powered automation. Boomerang isn’t just helping businesses return lost belongings—it’s turning those moments of frustration into powerful customer engagement opportunities.

With major brands like Wells Fargo Center, Universal Studios, and top MLB & NFL teams using Boomerang’s platform, lost & found has become more than just an operational challenge—it’s a differentiator in customer experience. Skyler explains how AI-driven matching streamlines the process, reducing the burden on businesses while dramatically increasing the chances of reuniting customers with their valuables. But more than efficiency, it’s about trust. Every successfully returned item creates a meaningful connection between a business and its customers, reinforcing loyalty in a way that no marketing campaign can.

We also discuss how Boomerang’s rapid expansion is building a global network of trust. From sports stadiums to theme parks and hotels, businesses are recognizing that lost & found is no longer just a back-office function—it’s a key touchpoint in the customer journey. Looking ahead, Skyler shares how Boomerang plans to scale its impact in 2025 and beyond, with the goal of making lost item recovery seamless across industries worldwide.

How can businesses turn small moments of frustration into lasting customer loyalty? And what role does AI play in creating frictionless, trust-building experiences? Tune in to hear how Boomerang is revolutionizing lost & found and changing the game for customer experience.

How can AI drive the next wave of innovation in healthcare while ensuring trust, security, and compliance? In this episode of Tech Talks Daily, I sit down with Rajan Kohli, CEO of CitiusTech, to explore how agentic AI is reshaping healthcare.

From personalized patient care to streamlining clinical workflows. As AI systems take on more decision-making responsibilities, the challenge is not just about advancing technology but ensuring it operates transparently, ethically, and securely.

Rajan shares insights into the biggest trends shaping healthcare technology in 2025, including the resurgence of value-based care, the shift toward on-demand personalized healthcare, and the urgent need to break down data silos for better insights. With agentic AI moving beyond passive data analysis to active decision-making, we discuss how it can improve efficiency, support medical professionals, and transform everything from diagnostics to patient engagement.

But with these advancements come critical concerns. How do we ensure that AI-driven decisions are explainable and auditable? How can organizations comply with stringent healthcare regulations like HIPAA and GDPR while leveraging AI to enhance care delivery? Rajan breaks down the key trust-building frameworks needed to make AI adoption both responsible and effective.

We also dive into real-world use cases, such as AI-powered virtual agents that support medication adherence, optimize clinical trials, and even assist with claims processing. These applications demonstrate how AI can ease the burden on healthcare providers while improving patient outcomes.

However, cybersecurity remains a major challenge, with the healthcare industry increasingly targeted by data breaches and cyber threats. Rajan explains how leaders can strengthen AI security, prevent data manipulation, and implement strong governance models to mitigate risks.

As healthcare undergoes a massive digital transformation, what will it take to balance AI innovation with the ethical and regulatory demands of the industry? And how can AI truly enhance—not replace—human expertise in healthcare? Tune in to hear Rajan Kohli’s expert perspective on the future of AI-driven healthcare.

How can businesses stay ahead of the rapidly evolving risks of AI-driven fraud? In this episode of Tech Talks Daily, I sit down with Bradley Niedzielski, Audit & Assurance Partner, Digital Transformation at Deloitte, to explore the growing threat of generative AI in financial fraud and how organizations can strengthen their defenses.

With deepfake technology, synthetic identities, and AI-generated forgeries becoming more sophisticated, traditional fraud detection methods are struggling to keep up. Deloitte projects that AI-driven fraud losses in the U.S. could reach $40 billion by 2027—more than tripling from 2023.

Bradley shares insights from Deloitte’s latest research, including a startling statistic: over 25% of businesses have already faced a deepfake financial fraud attack, and more than half expect these threats to escalate within the next year.

Despite this growing concern, only 7.4% of companies prioritize technology as their primary defense, and less than half feel confident in their ability to combat AI-powered fraud. So, what’s holding them back? And what steps should organizations be taking right now to strengthen their fraud risk management frameworks?

We discuss the critical role of AI governance, the importance of transparency in AI decision-making, and why human oversight is still essential—even as AI becomes more autonomous. Bradley also highlights how finance departments increasingly embed AI into their workflows, from automating financial close processes to leveraging AI-driven scenario planning. But as AI becomes a core part of financial operations, ensuring data integrity and preventing blind trust in AI-generated outputs is more critical than ever.

Beyond risk mitigation, we explore how businesses can prepare their teams for the AI-driven future. Bradley shares best practices for upskilling finance professionals, fostering a culture of innovation, and ensuring AI adoption aligns with broader organizational goals. With AI reshaping finance functions at an unprecedented pace, how can companies implement it securely while maintaining regulatory compliance and operational efficiency?

As generative AI continues to disrupt the financial landscape, how can businesses balance innovation and risk management? And what strategies will define the next generation of AI-powered finance operations? Tune in to hear Bradley Niedzielski’s expert take on navigating the opportunities and challenges of AI in finance.

What does the future of work look like in an era of hybrid models and AI-powered collaboration? In this episode of Tech Talks Daily, I sit down with James Campanini from Logitech to explore how workplace technology is evolving to empower productivity, foster inclusivity, and reshape how we think about collaboration—beyond office walls.

For over 45 years, Logitech has connected people to the digital world, from early peripherals like mice and keyboards to today's advanced video conferencing and AI-driven solutions.

James shares how Logitech's approach to hybrid work isn't about forcing employees back into the office but rather about ensuring that work happens effectively—whether in an office, at home, or on the move. Businesses focusing on how people work rather than where they work are seeing higher engagement, reduced burnout, and better overall productivity.

We also dive into AI's role in Logitech's innovations for years, from intelligent camera systems that automatically adjust lighting to noise-canceling technology that ensures remote workers are heard as clearly as those in the room.

As AI continues transforming business operations, James explains why it's not about replacing human decision-making but optimizing workflows, reducing time spent on repetitive tasks, and making meetings more inclusive for everyone—regardless of location.

Beyond technology, we discuss a growing concern in the corporate world: employee monitoring. With increasing companies turning to surveillance tools, Logitech advocates for a different approach—focusing on presence rather than policing. By equipping teams with the right tools, organizations can create an environment of trust and collaboration rather than scrutiny and micromanagement.

We also explore real estate trends as businesses rethink office spaces, shifting from rows of desks to more flexible, multi-purpose environments that better support hybrid collaboration. What's the right balance between in-person and remote work? And how can technology ensure all employees have an equal seat at the table—physically and digitally?

With AI reshaping the way we work and businesses needing to do more with less, how can organizations create productive but also inclusive and engaging workplaces? Tune in to hear how Logitech is leading the way in redefining the future of work.

How can businesses deploy AI with full transparency, accountability, and trust? In this episode of Tech Talks Daily, I sit down with David Villalón, co-founder of Maisa AI, to explore how their agentic AI technology is transforming enterprise decision-making. With many organizations still hesitant to integrate AI due to concerns over trust, hallucinations, and lack of explainability, Maisa has taken a different approach—ensuring full traceability in AI-driven processes.

David introduces Maisa's Vinci KPU and its "Chain-of-Work" concept, which moves beyond traditional generative AI models to create structured, deterministic decision-making processes. Unlike black-box AI systems that provide probabilistic answers, this approach allows organizations to see exactly how AI reaches its conclusions, making compliance and regulatory approval far more achievable. We discuss why this is a game-changer for industries like finance, oil & gas, and automotive—sectors where AI decisions carry high stakes and require robust governance.

With AI agents becoming increasingly autonomous, businesses must balance efficiency and oversight. David explains how Maisa's model allows for independent AI operation while ensuring humans remain in the loop for critical decision-making. He also shares best practices for mitigating AI-related risks, including financial losses and reputational damage, through governance frameworks and real-time intervention capabilities.

Beyond today's AI applications, we look at the bigger picture—how agentic AI reshapes leadership and organizational structures. As AI takes on more operational tasks, leaders are shifting from hands-on execution to managing networks of AI-powered "digital knowledge workers." What does this mean for the future of work? How will businesses adapt to remain competitive in an AI-driven economy?

Looking ahead, David shares his insights on the biggest opportunities and challenges facing AI adoption over the next five years. With AI evolving rapidly, how can companies future-proof their AI strategies while maintaining trust and control? Tune in to hear how Maisa is pioneering a new era of AI-powered decision-making.

Are you getting what you need from Tech Talks Daily? Or is there something missing? In this episode, I’m stepping back from interviews to check in with you—my incredible listeners.

I know I’m guilty of keeping my head down, recording back-to-back conversations, and pushing out episodes without stopping to ask: What do you want to hear more of? What should I cover less? Are there industries or tech trends you think deserve more attention?

This show is all about exploring the impact of technology in and outside the workplace, breaking down the ROI and measurable impact of every innovation in a way that everyone can understand. But I want to make sure I’m asking the right questions and featuring the right voices. 

So, tell me—what’s on your mind?

I’m also taking Tech Talks Daily on the road! If you’re attending IGEL Now & Next 2025 in Miami or the Qualtrics X4 Summit in Salt Lake City or the Bay Area, why not grab a coffee or a beer and chat in person?

Beyond the podcast, I work with businesses, leaders, and brands to help them share their stories—whether through thought leadership blogs, ghostwriting, or launching their own podcasts. If time constraints have been holding you back from stepping up your content game, let’s talk.

So, what do you think? What’s next for Tech Talks Daily? What trends should I chase down? Who should I be speaking with? Let’s make this a two-way conversation. Reach out, and let’s make it happen.

I’m listening. Are you in?    

How can brands leverage emerging technologies to drive real business results? In this episode of Tech Talks Daily, I sit down with Sarah Salter, Global Head of Innovation and Platforms at Wavemaker, to explore how companies can move beyond hype and apply AI, AR/VR, and other innovations in ways that truly engage consumers and deliver measurable impact.

With a background spanning 15 years and work on groundbreaking projects for brands like P&G, Nationwide, and the NHS, Sarah brings a unique perspective on digital transformation across industries.

Innovation isn’t about chasing trends—it’s about solving real business challenges. Sarah shares how Wavemaker helps brands set clear KPIs and use emerging tech strategically, from AI-driven personalization to immersive brand experiences in gaming and the metaverse. We discuss key lessons from major tech initiatives, including the NHS’s COVID-19 WhatsApp response and Nationwide’s Local Voices campaign on Alexa and Google, and how these projects balanced agility, accessibility, and meaningful engagement.

As AI continues to reshape marketing, brands are navigating a shift from interruptive ads to participatory experiences. Sarah highlights how companies like L’Oréal and Dove are leading with AI-driven campaigns and why gaming is becoming a major frontier for brand engagement. But with rapid technological change comes challenges—how do businesses keep up, invest in the right skills, and ensure innovation stays inclusive?

A passionate advocate for diversity in tech, Sarah also shares her thoughts on why diverse teams lead to better innovation and why the industry must do more to support women in leadership. From fostering STEM education to initiatives like WPP’s Back in the Game, she discusses what’s needed to build a more inclusive future in technology.

How can brands use technology to connect with audiences in more meaningful ways? And what does the future of immersive, AI-powered marketing look like? Tune in to hear Sarah Salter’s insights on the next era of brand innovation.

How can AI transform project management without adding unnecessary complexity?

In this episode of Tech Talks Daily, I sit down with Miya McClain, VP of Product Management at Smartsheet, to explore how embedded AI tools are reshaping the way teams collaborate, manage data, and deliver successful projects. 

With an engineering background and deep product expertise, Miya shares how Smartsheet is tackling some of the biggest challenges in project management, from data overload to team burnout.

AI in project management isn't about replacing human decision-making—it's about enhancing it. Miya explains how Smartsheet’s AI-driven insights help teams cut through the "data mess," turning scattered information into clear, actionable intelligence. With 63% of eligible Smartsheet plans already leveraging AI tools, businesses are seeing improved efficiency, better decision-making, and a significant reduction in manual work.

We also discuss how AI can proactively identify risks before they derail a project, providing managers with real-time visibility into potential roadblocks. This not only minimizes stress but also helps teams stay on track without last-minute scrambles. And as AI continues to evolve, Miya shares her perspective on the future of agent AI—where technology doesn’t just analyze data but also recommends the best projects to tackle, assigns the right people, and even personalizes onboarding experiences.

But as AI adoption grows, so do concerns about responsible use. Miya highlights Smartsheet’s commitment to data security, ensuring customer data is never co-mingled or used for training. She also debunks common AI myths, explaining why project managers remain vital, even as AI takes on more of the repetitive tasks.

With AI poised to redefine project management, how can businesses ensure they’re using it strategically and responsibly? And what does the future hold for AI-powered collaboration? Tune in to hear Miya McClain’s insights on the evolving role of AI in the workplace.

What is the future of document generation in 2025, and how should businesses navigate the risks of AI? In this episode of Tech Talks Daily, I sit down with Christian Lund, co-founder of Templafy, to explore how AI-powered document automation is reshaping productivity, compliance, and security in modern enterprises.

As companies push for greater efficiency, many are adopting AI tools to streamline workflows. But AI's effectiveness depends heavily on context—and context is something you can't always rely on users to provide.

Christian shares why most people approach AI like a search engine, entering a handful of keywords and expecting the right results. But would you brief a colleague with just a few disjointed words? Better briefs lead to better outputs, whether you're working with humans or AI. 

This is where Templafy steps in, delivering AI-powered document generation solutions that integrate seamlessly with platforms like Microsoft Office, Google Workspace, and Salesforce. Trusted by over 800 enterprises, including KPMG, BDO, and Adobe, Templafy automates document creation while maintaining compliance and brand consistency—saving employees up to 30 days per year.

We also dive into why the best automation happens when humans are less involved. Far from sidelining human input, this approach reduces compliance risks and frees employees to focus on high-value work that drives business growth.

Christian explains how Templafy orchestrates AI models, data sources, and workflows to ensure optimal outcomes, from sales collateral to RFP responses. Plus, we explore future trends, including AI agents and stronger orchestration that allows businesses to stay in control of AI-powered processes.

How can businesses balance the push for faster workflows with the need for secure, compliant documents? And what role will AI agents play in tomorrow's document generation landscape? Tune in to discover how Templafy is paving the way for smarter, safer automation.

Are we ready for a hedge fund world where machine learning guides trading decisions and data scientists outnumber traditional traders? In this Tech Talks Daily Podcast episode, I sit down with Gary Collier, CTO of Man Group, to find out. 

Man Group traces its roots back more than two centuries to its days supplying rum, yet it now stands at the forefront of AI-driven finance. Gary explains how the firm’s open-source platforms, Alpha and Rosa, power everything from signal generation to automated execution, all while keeping a firm grip on the art of human oversight.

I found it intriguing how their internal ManGPT system used by over half the organization proves that large language models and neural networks aren’t just hyped. They’re part of daily operations in purely systematic strategies and supporting discretionary portfolio managers who want real-time insights from a sea of unstructured data. We also explore ArcticDB, Man Group’s open-source data science database, enabling it to process billions of rows quickly. Gary argues that without this kind of data infrastructure, AI research stalls under the weight of time-consuming manual tasks.

Throughout our conversation, Gary shares how his hobbyist coder and physicist background influences a data-first culture. It was fascinating to hear how he believes AI could soon disrupt creative aspects of quantitative research, allowing advanced models to generate strategy ideas rather than simply refining existing ones. At the same time, he underscores the importance of transparency. In a world where billions in assets are at stake, pure black-box automation doesn’t cut it, and teams need to explain how trades are executed and why the data looks the way it does.

From front-office analytics to deep research projects, it’s clear that AI pulses through Man Group’s veins. Still, Gary reminds me that people remain vital for framing the right questions and deciding when to trust the outputs. Will AI become the main engine of future hedge fund strategies, or will human ingenuity continue to guide our biggest calls on the market? And how will your organization embrace the growing tide of machine-led innovation?

Is your organization prepared for an era in which AI does more than just offer a helping hand, but actively partner with human teams? In this episode of the Tech Talks Daily Podcast, I sit down with Randy Weakly, Chief AI Architect at ImageSource, to explore the fast-changing world of agentic AI and how it’s shaping the future of intelligent automation.

After years of working in fields ranging from aerospace engineering to NASA, Randy now leads the AI efforts at ImageSource, a company that has spent decades refining enterprise content and customer experience products. He shares how ImageSource incorporates natural language processing and computer vision to manage documents across finance, healthcare, and government, showing how AI can tackle everything from scanning hundreds of forms to transcribing hours of audio.

Randy highlights the importance of a human-in-the-loop approach, insisting that while AI can automate countless tasks, oversight keeps projects accurate and ethically grounded. He talks about ImageSource’s “AI Empowerment Blueprint” for organizations that want to integrate AI responsibly, stressing that governance frameworks are no longer optional.

I found it enlightening to hear about their journey toward hyperautomation, where agentic AI agents might soon perform tasks with minimal human input. Randy believes that by 2025, this approach will redefine how businesses operate, allowing enterprises to reshape processes, save time, and uncover fresh opportunities for growth.

We also discuss how AI can occasionally surprise us by performing advanced tasks one moment and stumbling on simpler ones the next. 

That variability drives the need for codified workflows and oversight, especially when security and ethics hang in the balance. Listening to Randy’s vision, I was struck by how he sees the biggest opportunities for AI in the next three to five years: from boosting routine workflows to powering new products and services that haven’t even been imagined yet.

Will your business embrace agentic AI and the promise of human-machine collaboration, or will you wait until these intelligent systems become the norm?

What will the future of AI accessibility look like when Big Tech no longer dominates the infrastructure? In this episode of Tech Talks Daily, I explore this question with Dr. Seena Rejal, the Chief Commercial Officer at NetMind.AI. Seena brings over 15 years of experience in deep tech ventures across the US and UK. As a two-time founder, investor, and now CCO of NetMind.AI, his mission is clear: democratize access to AI by breaking the centralized control of high-performance computing.

NetMind.AI is pioneering a decentralized GPU computing platform through its blockchain-enabled NetMind Power, making AI affordable and accessible for everyone. But how exactly does decentralization level the playing field in an AI landscape dominated by major players? Seena shares his insights on how this approach not only empowers startups and researchers but also tackles some of the industry's most pressing challenges, such as GPU shortages, environmental costs, and Big Tech’s increasing appetite for nuclear energy.

Our conversation explores the growing role of agentic AI and its real-world applications across multiple sectors. How are AI agents enhancing efficiency and transforming decision-making processes? Seena explains why agentic AI could be the next big shift in AI adoption and what businesses need to know to stay ahead. We also discuss recent moves in the semiconductor industry, including Amazon’s efforts to build AI chips designed to rival Nvidia, and what this means for the future of AI infrastructure.

Throughout the discussion, Seena emphasizes the ethical implications of rapid AI advancement. With misinformation and deepfakes becoming more common, how can decentralized, open-source approaches help create a more transparent and secure AI ecosystem? Seena believes that by distributing AI infrastructure and fostering open access, smaller players can compete with big tech giants while promoting ethical standards in AI development.

As AI technology evolves, will decentralization be the key to unlocking its full potential for everyone? What will it take for businesses to embrace this shift? Listen to this insightful conversation and let me know—do you believe decentralized AI is the future?

Have you ever wondered how technology could help solve the growing challenges in the UK’s water industry? With increasing cost pressures and rising consumer demands, the water sector is at a critical juncture. In this episode of Tech Talks Daily, I’m joined by Sandeep Bhattarai, Utilities Value Advisor at SAP UKI, to explore how digital solutions can help water companies navigate these turbulent times.

SAP’s latest research reveals that 34% of water company leaders are grappling with challenging cost pressures, with 94% believing that investment must rise to meet customer expectations. Sandeep shares his insights into the root causes of these financial strains and how a lack of digital infrastructure is slowing progress. He explains how technology adoption, or the lack thereof, is impacting the industry's ability to meet the stringent requirements of AMP8, a five-year regulatory framework starting in 2025.

As we unpack the complexities of the water network, Sandeep highlights how digital transformation can streamline operations, reduce inefficiencies, and improve service delivery. But can technology truly be a silver bullet? Sandeep addresses this question head-on, offering practical solutions for overcoming the skills gaps, operational silos, and knowledge barriers that continue to hinder digital adoption.

Looking ahead, we discuss what the future holds for the UK water industry post-AMP8. Will the sector embrace the digital revolution required to meet evolving demands? How can leaders harness technology to ensure sustainable growth and customer satisfaction?

Tune in to this conversation and share your thoughts—what role do you think technology should play in shaping the future of water services?

What does it take to transform a men’s health start-up into one of the fastest-growing digital healthcare providers in the UK? In this episode of The Tech Talks Daily Podcast, I explore this question with Sokratis Papafloratos, founder and CEO of Numan.

Since launching Numan in 2018, Sokratis has overseen its remarkable journey from offering solutions for erectile dysfunction to becoming a full-scale digital healthcare provider supporting over 500,000 patients. The business generated £30 million in revenue in 2023 and more than doubled in 2024, while building a team of over 150 professionals.

But Numan’s evolution isn’t just about scaling services—it’s about leading the future of health tech. Sokratis shares how Numan is setting new benchmarks by integrating AI, predictive analytics, and data science into its operations.

We discuss the company’s latest innovation: the AI Health Assistant, a groundbreaking tool designed to offer personalised, real-time health guidance while adhering to rigorous safety and regulatory standards. This tool, backed by Numan's proprietary Aegis Monitoring System, is redefining patient engagement, ensuring clinical accuracy, and delivering up to 99% clinically reviewed responses.

Sokratis also outlines how AI can provide scalable, personalised healthcare solutions for stigmatised conditions like obesity. With the AI Health Assistant already supporting over 3,000 patients in its beta phase, we discuss how this technology has helped patients collectively lose over 200,000kg. Sokratis explains how Numan’s patient-centred AI approach is bridging critical gaps in healthcare by ensuring safe, tailored support that evolves with patient needs.

We explore Numan’s ambitious plans to launch more AI-driven tools in 2025, aiming to lead the UK’s health tech market and expand globally. Sokratis shares his broader vision for digital healthcare, insights on balancing technology with compassionate care, and the crucial role of AI safety frameworks like ISO42001.

As the digital healthcare landscape continues to evolve, Numan’s journey offers lessons in scaling innovation responsibly while staying patient-focused. How can AI reshape healthcare delivery? What challenges and opportunities lie ahead for health tech? Join us to hear Sokratis Papafloratos share his insights and help us understand how technology is transforming healthcare journeys for millions.

What happens when AI agents begin to outnumber humans? In this episode of The Tech Talks Daily Podcast, I sit down with Steve Lucas, CEO of Boomi, to explore this thought-provoking prediction and what it means for businesses, the workforce, and society. With extensive experience leading companies through transformative journeys, Steve brings invaluable insights into how organizations can prepare for a future dominated by AI.

Steve delves into the concept of the “AI big bang,” where AI agents are set to fundamentally reshape workforce dynamics and decision-making processes. He highlights how these agents are rapidly evolving, influencing everything from customer service and supply chain management to market analysis. But with this growth comes the pressing need for transparency, explainability, and control. How can businesses avoid being overwhelmed by this AI influx? Steve argues that companies must reimagine work processes and establish robust AI governance frameworks to ensure human oversight and ethical AI deployment.

As AI becomes deeply integrated into everyday business functions, Steve outlines the critical role of protocols for future communication. The rapid evolution of technology requires clear frameworks to enable AI agents to interact in ways we can understand and control. He shares how Boomi is addressing this challenge by developing an AI governance platform designed to help organizations manage agent creation, execution, and compliance effectively.

Steve also reflects on how business leaders can stay ahead in this rapidly changing landscape. With AI set to revolutionize global learning and knowledge accessibility, continuous learning becomes essential. Drawing on advice from industry leaders, Steve emphasizes the importance of dedicating time to understanding AI technologies and using AI itself for personalized learning experiences.

This episode offers a deep look into how AI will shape the future of work, the critical need for governance, and the opportunities and risks that lie ahead. As AI agents become a powerful force in business, how will your organization adapt? Are you ready for the cognitive revolution that’s already underway? Let us know your thoughts after the conversation.

What does it take to revolutionize the dining experience for a generation that holds $7.6 trillion in annual spending power? As America’s largest contingent of Baby Boomers approaches retirement, the demand for elevated dining in senior living communities has never been higher.

 In this episode of Tech Talks Daily, I’m joined by Joseph Cuticelli, CEO of Restaura, a company poised to disrupt the $45.1 billion foodservice contracting industry. Restaura is not just changing what’s on the menu—it’s redefining how technology, data science, and hospitality converge to create personalized dining experiences that cater to the evolving expectations of the Longevity Economy.

During our conversation, Joseph shares how Restaura is setting new industry standards by leveraging artificial intelligence, predictive analytics, and real-time data to gather resident feedback, optimize operations, and reduce food waste.

With dining costs representing up to 20% of a senior living community’s operating expenses, Restaura’s tech-driven insights provide clients with smart dashboards offering real-time KPIs and sentiment analysis, ensuring that resident satisfaction and operational efficiency go hand in hand.

But how does one balance cutting-edge technology with the compassionate care and culinary artistry that residents expect? Joseph explains how Restaura brings together nutrition science and personalized service to address not only the health but also the emotional well-being of residents. We also explore the growing need for tech-enabled responsiveness in senior living, where dining quality is key to attracting and retaining residents.

As the conversation unfolds, we discuss the broader impact of the Longevity Economy and how senior living communities can stay ahead by blending technology with human connection. Is the future of senior dining about more than just food? Could AI and data science pave the way for a more sustainable, personalized approach to care?

Tune in and join the discussion. How do you see technology transforming the way we approach aging and hospitality? Share your thoughts—this is a conversation worth continuing.

The demand for seamless connectivity continues to grow as industries, businesses, and consumers increasingly rely on digital infrastructure. In today’s conversation, I’m joined by Christian Hillbrandt, CEO of Vantage Towers, to discuss how one of Europe’s largest tower companies is shaping the future of mobile networks.

With 86,000 towers spread across 10 European markets, Vantage Towers is at the center of expanding 5G coverage and enhancing network reliability. Christian shares insights on the progress of 5G rollout across Europe, the challenges of building sustainable and scalable infrastructure, and why connectivity across transportation networks—such as highways, railways, and airports—is becoming a priority.

We also explore the company’s efforts to drive efficiency through shared infrastructure, the shift toward renewable energy, and how Europe’s approach to connectivity compares to the U.S. As the demand for faster, more reliable networks increases, how will companies like Vantage Towers support innovation while ensuring cost-effective solutions?

Join us for a fascinating conversation on the technology that powers our digital world. What role do you think infrastructure providers should play in shaping the future of connectivity? Let us know your thoughts.

The internet is evolving, but so are the threats that come with it. The latest Bad Bot Report from Imperva, a Thales company, reveals a staggering statistic: nearly 50% of internet traffic now comes from non-human sources, with bad bots making up almost one-third of all online activity.

These bots are no longer just simple scripts running in the background; they have become more advanced, leveraging AI to mimic human behavior and evade traditional detection methods. The consequences? A surge in transaction fraud, web scraping, data harvesting, and account takeovers, affecting industries across the board.

In this episode, I'm joined by Lynn Marks, Senior Product Manager at Imperva, who returns to the podcast to break down the key findings of the 2024 Bad Bot Report. We explore how bot activity is evolving, why businesses need to rethink their approach to security, and what proactive steps can be taken to mitigate these threats.

Lynn explains how attackers are shifting their focus from technical vulnerabilities to exploiting business logic, making it increasingly difficult for companies to detect and prevent malicious activity.

We also discuss the growing security challenges surrounding APIs, which have become prime targets for cybercriminals. With half of all account takeover attacks now targeting APIs directly, organizations need better visibility and stronger protections in place to defend against automated threats. Lynn shares insights on why industries like gaming and travel are seeing disproportionate bot activity and how businesses can better secure their platforms.

As AI legislation gains momentum worldwide, the conversation around bot management is becoming increasingly complex. How can companies stay ahead of evolving threats while ensuring compliance with emerging regulations? What lessons can be learned from past security failures? And more importantly, how can organizations take a proactive stance in the fight against automated cyber threats?

Tune in for an eye-opening conversation that sheds light on the hidden dangers lurking beneath internet traffic and learn how to better protect your business from the growing wave of automated attacks.

Are businesses truly prepared for the evolving world of AI regulations? As artificial intelligence continues to reshape industries, organizations face mounting challenges in managing data integrity, balancing compliance with innovation, and ensuring ethical implementation. In this episode, I welcome Juan Orlandini, CTO North America at Insight, to explore the shifting AI regulatory landscape and how companies can navigate the road ahead.

With so much hype surrounding AI over the last two years, many businesses rushed to adopt new technologies, eager to stay ahead of the curve. But as the dust settles, a new focus emerges—responsibility, regulation, and long-term strategy. Juan breaks down AI into three broad categories: creators, adapters, and consumers. Each faces distinct challenges, particularly as global policymakers attempt to establish clear frameworks for responsible AI use. The conversation dives into why businesses should begin by focusing on internal AI applications, where the risks are lower, and the immediate value is more tangible before expanding into customer-facing solutions.

With AI regulations in the US still developing, California is leading the charge at the state level, much like it did with past privacy laws. Juan shares his thoughts on how these early policies could evolve into broader federal frameworks and what lessons the US can take from the European Union’s approach with the AI Act. While regulation may seem like an obstacle, Juan argues that it also presents an opportunity for businesses to refine their AI strategies, ensuring their data assets are leveraged effectively while remaining compliant.

Looking ahead, AI’s role in business will only continue to expand, but how can organizations avoid the pitfalls of past technology trends? Juan offers insights into how companies can take a structured, methodical approach to AI adoption, ensuring they don’t fall into the trap of following trends without a clear purpose. Whether it’s identifying high-value, quick-win AI projects or integrating AI into existing enterprise systems without adding unnecessary complexity, Juan emphasizes the importance of measured, strategic implementation.

The conversation also touches on the broader impact of AI on the workforce, the regulatory challenges that different AI categories face, and how organizations can foster innovation while mitigating risks. As AI becomes more ingrained in daily business operations, understanding the nuances of responsible AI adoption will be critical for companies looking to gain a competitive edge.

Are organizations ready for the realities of AI regulation, or are they still in the hype cycle? And how can businesses strike the right balance between innovation and compliance? Tune in to hear Juan’s expert insights and strategies for navigating the AI-powered future.

In today’s episode, I welcome Ricardo Ferreira, EMEA Field CISO at Fortinet, to discuss how the UK's proposed Cybersecurity and Resilience Bill compares to the EU's NIS2 directive. Ricardo brings a wealth of experience in cybersecurity strategy and regulation, and he shares why he believes the UK's bill is missing key components that could make it truly effective.

With Brexit allowing the UK to take an independent approach, Ricardo argues that there is a unique opportunity to cherry-pick the most effective elements from NIS2 while avoiding its potential pitfalls. But is the current bill providing enough clarity?

 Ricardo highlights how the legislation introduces buzzwords like "digital supply chain" without actually outlining a clear path for addressing cyber threats. In contrast, NIS2 lays out a prescriptive approach that includes risk profiling, supply chain security frameworks, and post-breach recovery strategies.

We also explore the growing need for board-level accountability in cybersecurity. Should executives and directors be held personally responsible for cyber resilience within their organizations? And how can governments ensure that businesses have both the guidance and incentives to proactively address security risks rather than reactively scramble to contain breaches?

With cyber threats only growing more sophisticated, the role of regulation in mitigating risk has never been more important. But does the UK's current legislative approach go far enough? And what lessons can be learned from international frameworks like NIS2?

Tune in for an insightful discussion on the future of cybersecurity policy, where it’s headed, and what needs to change to create truly resilient digital infrastructures. As always, I’d love to hear your thoughts—how should governments balance regulation with innovation in cybersecurity?

At the intersection of Web3, IoT, and AI, we're witnessing a technological shift that promises to redefine business, connectivity, and the metaverse itself.

 In today’s episode, I’m joined by David Palmer, Chief Product Officer of PeerPoint by Vodafone, to explore the convergence of these technologies and what it means for the future of enterprise and digital interactions.

David brings a wealth of experience in emerging technologies, and his new book, The Business of Metaverse, provides a roadmap for organizations looking to navigate and capitalize on the opportunities within this evolving digital landscape.

He shares insights into how Web3 and AI are revolutionizing industries, enabling device-to-device transactions, and fueling new AI-driven business models.

One of the most intriguing developments is Vodafone’s PeerPoint platform, the world’s first Web3 IoT platform, designed to give digital identities to IoT devices, allowing them to transact autonomously.

Imagine in-car payments that don’t require additional hardware, smart contracts securing enterprise AI interactions, and an IoT ecosystem that is no longer siloed by technical barriers. With an estimated 26 billion connected devices by 2025, the ability to securely exchange data and conduct business at scale will be a game-changer.

We also discuss the three stages of metaverse evolution—from embedded experiences to full interoperability and convergence. AI is accelerating this transition, with generative AI and intelligent agents opening new possibilities for businesses. But while the opportunities are immense, many organizations are still grappling with how to translate these concepts into real business value.

 David shares practical examples of how industries like finance, education, and real estate are already leveraging these technologies to remove geographic barriers and unlock new economic models.

As we look ahead, who will be the winners in this new digital era? How will businesses need to adapt to harness Web3, AI, and IoT effectively? And what role will AI-powered digital agents play in shaping the metaverse’s next phase?

Join us as we explore how the future of business is being rewritten in real-time—and what leaders need to do to stay ahead.

In today’s episode, I’m joined by Simone Cardarelli CEO of MicroAlign to explore a groundbreaking innovation in fiber optics that could reshape quantum computing, data centers, AI, and space communication. 

With quantum computing advancing rapidly, every photon counts. Traditional fiber alignment methods struggle with precision, but MicroAlign’s micro-actuator technology achieves 100-nanometer accuracy, vastly improving photon transmission efficiency. This advancement is critical for quantum computers, where precise photon management directly impacts computational power and scalability.

But the implications go far beyond quantum computing. We discuss how this technology can revolutionize data centers by supporting co-packaged optics, improving AI processing efficiency, and enabling high-speed, low-loss communication in space applications. We also discuss the challenges of scaling production to meet industry demands and what the future holds for fiber connectivity in photonics.

Could this innovation set a new standard for fiber optic connections across multiple industries? And what are the next big breakthroughs we can expect in photonic computing? Join us as we explore the cutting-edge world of photonics and its transformative potential.

As always, I’d love to hear your thoughts—do you think fiber optic precision will be a game-changer for quantum computing and AI?

In today’s episode, I’m joined by Kristina Hloptsidis, Chief Innovation Officer at Signify, to explore how AI is streamlining compliance workflows in the manufacturing sector. With regulatory requirements constantly evolving and global supply chains growing more complex, companies are under increasing pressure to ensure compliance without sacrificing efficiency. Kristina and her team at Signify are tackling this challenge head-on by using AI to automate compliance checks, reduce manual effort, and provide real-time insights for manufacturers.

Signify, a startup that recently spun out of the AI2 Incubator, has raised $2.1 million to develop its AI-powered platform designed to analyze regulatory documentation and reduce risk across the product lifecycle. But while AI holds immense promise, integrating it into legacy systems and established workflows isn’t always straightforward. Kristina shares the common challenges manufacturers face when adopting AI-driven compliance solutions, the strategies for overcoming resistance to change, and the practical steps businesses can take to implement AI without disrupting existing operations.

We also discuss the broader implications of AI in manufacturing, from optimizing supply chains to leveraging robotics and computer vision for defect detection. As AI continues to reshape industries, how can manufacturers strike the right balance between automation and human expertise? And what does the future hold for AI-powered compliance management?

Join us for this fascinating conversation on the intersection of AI, compliance, and manufacturing innovation. And as always, I’d love to hear your thoughts—do you think AI can fully replace traditional compliance processes, or will human oversight always be essential?

AI is everywhere, yet scaling it remains a serious challenge for many enterprises. Organizations are eager to move beyond pilot projects, but they quickly run into obstacles—cloud costs spiral out of control, GPUs sit idle due to inefficiencies, and infrastructure bottlenecks slow down innovation. If AI is supposed to be the future, why is the underlying infrastructure still holding it back?

In this episode, I’m joined by John Blumenthal, Chief Product Officer at Volumez, and Diane Gonzalez, Senior Director of Business Development and Product, to unpack the hidden inefficiencies of AI infrastructure and explore whether Data Infrastructure as a Service (DIaaS) is the answer. They explain why traditional AI infrastructure models are failing and why manual optimization simply can’t keep up with modern AI workloads.

John argues that the problem is beyond human management, stating, “No human being is going to be able to answer that question—to actually arrive at that optimization. So you have to turn it over to a machine.” We explore why cloud spending is so difficult to control, how businesses are struggling to achieve a return on their AI investments, and what it will take to make AI infrastructure more cost-effective and scalable.

Diane shares real-world examples of how AI teams are losing valuable time and resources trying to work around infrastructure constraints. She explains how DIaaS dynamically composes infrastructure on demand, eliminating bottlenecks and ensuring businesses can run AI workloads at full speed without overspending.

With AI adoption accelerating, organizations are rethinking their approach to cloud infrastructure. But is DIaaS the missing piece that will finally make AI truly scalable? And are businesses ready to let automation take the lead in optimizing their cloud environments? Join the conversation and share your thoughts.

What happens when an industry as heavily regulated and historically slow-moving as pharma is forced to accelerate digital transformation? In today’s episode, I welcome Florian Schnappauf, Vice President of Enterprise Commercial Strategy at Veeva Systems, to discuss how Chief Digital Officers (CDOs) are reshaping the pharmaceutical landscape and why their role is now more critical than ever.

The pharmaceutical sector faces mounting pressure to innovate faster, manage costs, and compete with digital-first biotechs. Research predicts the industry will spend $4.5 billion on digital transformation by 2030, a shift that has led to the emergence of CDOs in the pharma C-suite. But what does this role actually entail, and how does it help companies navigate the complexities of drug development, clinical trials, and commercialization?

Florian shares insights on how CDOs are not just supporting digital initiatives but actively orchestrating, building, and operating them. From managing the sheer volume of data generated by clinical trials to ensuring that digital tools enhance—not hinder—the drug development process, the CDO is now a key differentiator between industry leaders and laggards. We also explore how effective digital leadership can shorten timeframes from drug discovery to patient treatment, improve communication with healthcare providers, and ultimately ensure that pharma companies achieve more with fewer resources.

With regulatory hurdles, technological advancements, and shifting market dynamics, the pharmaceutical industry is at a pivotal moment. So, what does the future hold for digital leaders in pharma? How will CDOs continue to evolve, and what lessons can other industries learn from their journey?

Join us as we break down the digital transformation of pharma and the leadership required to drive meaningful change. And as always, I’d love to hear your thoughts—do you think pharma is adapting quickly enough, or is there still a long way to go?

Check out the What Pharma Needs Next podcast.

Workplace productivity is at a crossroads. Despite an explosion of modern collaboration tools, miscommunication, unclear project requirements, and inefficient meetings continue to derail projects, wasting valuable time and resources. A staggering 41% of workers report that making a simple decision can take up to three hours due to unproductive meetings—so what’s going wrong?

In this episode, Bryan, Chief Evangelist at Lucid Software, joins me to break down the research that shows how these inefficiencies are hurting businesses. We discuss how visual collaboration tools can bridge the gap, offering a structured framework to align teams, streamline workflows, and eliminate costly misunderstandings.

Bryan shares insights on why agile practices could be the answer, revealing that while 68% of workers see tangible benefits from agile methodologies, many organizations are still reluctant to adopt them.

We also dive into the biggest roadblocks to change—resistance from employees, misconceptions about agile practices, and fear of disruption. Bryan lays out a practical roadmap for introducing agile in a way that doesn’t overwhelm teams but instead fosters engagement, efficiency, and innovation.

From quick daily scrums to structured retrospectives, we explore simple yet powerful ways teams can evolve their approach to collaboration without feeling like they’re overhauling everything at once.

And in a historic moment for the podcast, we break a record today—an entire, deeply insightful conversation about technology and business without mentioning AI!

So, how can companies shift away from outdated working behaviours and embrace visual collaboration and agile methodologies? What small changes can create massive improvements in decision-making and project execution? And what does the future of workplace collaboration look like in a world that’s still struggling with productivity?

Join us for this eye-opening discussion, and as always, I’d love to hear your thoughts—what’s the biggest collaboration challenge your team faces, and could agile be the answer?

In today’s fast-moving digital landscape, IT teams are under immense pressure to maintain performance, security, and reliability while managing increasingly complex cloud-native environments. But as traditional monitoring tools struggle to keep pace, AI-driven observability is emerging as a game-changer.

In this episode, I sit down with Alois Reitbauer, Chief Technology Strategist at Dynatrace, to explore how AI and automation are redefining enterprise IT. Alois shares his insights on the role of predictive AI, AIOps, and automated observability in helping organizations proactively detect and resolve issues before they impact users.

We also dive into how Dynatrace is integrating AI-powered solutions to enhance performance monitoring, security, and cloud automation, making IT operations more efficient and resilient. Alois breaks down the latest innovations, including how AI observability supports large-scale cloud environments, reduces alert fatigue, and enables self-healing IT ecosystems.

As AI continues to transform enterprise technology, what does the future hold for IT teams? Can AI-powered observability help businesses scale without adding complexity? And how can companies harness Dynatrace’s advanced AI insights to drive greater efficiency and security?

Join us as we explore these questions and uncover the latest breakthroughs shaping the future of IT operations. I’d love to hear your thoughts—how do you see AI observability changing the way businesses manage their digital ecosystems?

The rapid pace of technological change continues to reshape industries, forcing businesses to rethink their IT strategies, embrace automation, and harness AI to stay competitive. But with so many moving parts—legacy systems, cybersecurity risks, and increasing demands for performance—how can enterprises successfully modernize without disrupting mission-critical operations?

In today’s episode, the conversation takes place live from Dynatrace Perform in Las Vegas, where the focus is on AI-driven transformation, digital twins, and the future of IT services. Howard Boville, Executive Vice President at DXC, shares how the company is helping enterprises modernize applications, optimize cloud environments, and use AI to drive efficiency and scalability. With a global team of 50,000 engineers, DXC is at the forefront of enabling businesses to navigate complexity while maximizing operational performance.

A key part of this transformation is DXC’s long-standing partnership with Dynatrace, which spans 15 years. Howard explains how observability plays a pivotal role in ensuring seamless application performance and IT operations. With thousands of interconnected applications running on intricate infrastructure, gaining real-time insights is critical for predicting outages before they happen. The discussion explores how AI-powered observability is preventing IT failures, improving customer experiences, and enabling businesses to transition from reactive to proactive problem-solving.

Another major theme is the rise of digital twins—real-time virtual models that help businesses optimize their technology ecosystems. Originally developed in manufacturing to simulate production lines, digital twins are now being used to map out entire IT environments. Howard discusses how DXC and Dynatrace are bringing this concept into enterprise IT, allowing companies to model the impact of AI, streamline cloud migrations, and maximize return on investment.

The conversation also touches on the growing concerns around cybersecurity and quantum computing. As the industry approaches a new era of quantum capabilities, encryption methods once considered secure will soon be vulnerable. Howard explains why businesses need to start preparing for this shift now, rather than waiting for a crisis to emerge.

With AI playing a bigger role in IT services, the discussion also explores how DXC is leveraging automation to drive operational improvements while ensuring human expertise remains central to decision-making. Howard shares insights on how businesses can balance innovation with risk management, optimize costs, and make AI work for them rather than against them.

As enterprises navigate digital transformation, the question remains: how can they ensure their IT investments deliver measurable business outcomes? What role will AI, observability, and cybersecurity play in shaping the future of enterprise technology? And with quantum computing on the horizon, how can businesses prepare for the seismic shifts ahead?

Join the discussion for a thought-provoking look at the future of IT and the evolving role of AI in enterprise modernization. What are your thoughts on AI’s impact on IT services? Let’s continue the conversation.

What happens when a company decides to redefine its identity? That’s what I witnessed firsthand at the IT Press Tour in Silicon Valley, as CloudFabrix unveiled its transformation into Fabrix.ai—a move that marks more than just a rebrand, but a bold step into the future of AI-driven IT Operations.

In this episode, I sit down with Raju Datla, CEO of Fabrix.ai, to explore this pivotal shift and the launch of their Agentic AI Operational Platform. We discuss why the evolution from CloudFabrix to Fabrix.ai is not just about a name change but revolutionizing how IT operations leverage AI agents for autonomous workflows, predictive analytics, and automated remediation.

Fabrix.ai introduces Agentic AI, a new paradigm where AI-driven agents operate independently to solve IT challenges—without constant human intervention. These agents can detect anomalies, manage SLAs, predict system failures, and execute automated fixes. But how does this compare to traditional AIOps and ML-driven approaches? And what safeguards are in place to prevent AI hallucinations, bias, and errors in critical IT workflows?

We’ll unpack how Fabrix.ai’s three foundational fabrics—AI Fabric, Automation Fabric, and Data Fabric—transform enterprise IT by combining AI-powered reasoning, real-time data processing, and intelligent automation. Raju shares insights into how large enterprises and telcos leverage this technology and how Fabrix.ai works with industry giants like Cisco, IBM, and Splunk to reshape IT operations.

Beyond the tech, we dive into leadership lessons from a serial entrepreneur—how Raju has built a loyal team across multiple ventures, the mindset needed to create sustainable, high-impact businesses, and why passion should always come before profit.

So, what does the future hold as we stand at the crossroads of AI-driven automation and IT modernization? Will Agentic AI usher in the long-promised era of fully autonomous enterprises?

What are your thoughts? Could AI-driven agents transform IT as we know it? Let’s continue the conversation.

Unstructured data is growing at an unprecedented rate, now making up 90% of enterprise data—but how do businesses harness its full potential?

 In this episode, I sit down with Krishna Subramanian, co-founder and COO of Komprise, to explore how companies can optimize, manage, and extract value from their unstructured data across hybrid and multi-cloud environments.

Krishna shares insights from over a decade in the industry, explaining how data has outgrown traditional storage solutions and why independent data management is critical for organizations to avoid vendor lock-in. We discuss how AI is revolutionizing data strategies, from optimizing storage costs to preparing unstructured data for AI-driven workflows—a challenge every enterprise is now facing.

We also dive into the hidden costs of cold data, how Komprise’s Global File Index brings structure to unstructured data, and the role of transparent data tiering in reducing storage expenses while maintaining easy access. Krishna highlights why data governance and security are more important than ever, especially as enterprises explore AI adoption and face increasing ransomware threats.

As AI becomes more deeply embedded in business processes, how can organizations ensure their data is AI-ready? What steps should they take today to future-proof their data strategies? Join the conversation and discover why unstructured data management is the next big frontier in enterprise IT.

What does the future of observability, AI, and security look like in an increasingly complex digital world? In this episode, I’m joined by Steve Tack, Chief Product Officer at Dynatrace, live from Dynatrace Perform in Las Vegas. Steve has been a frequent guest on the show, but this time, we’re finally sitting down in person at one of the industry’s most anticipated events.

Steve shares insights into how Dynatrace is expanding its AI-driven observability and automation capabilities to help businesses move from a reactive to a proactive IT strategy. We discuss the company’s latest product announcements, including advancements in AIOps, cloud security posture management, and predictive AI for optimizing enterprise performance.

With AI dominating conversations in every industry, Steve explains how enterprises are evolving their IT operations to harness AI-powered automation while ensuring security and scalability. He also shares key trends from the conference floor, including how businesses are restructuring teams for agility and resilience in the era of cloud-native and AI-driven services.

Tune in to hear how AI, observability, and security are converging to shape the future of enterprise IT—and what it means for your business.

Are we truly on the verge of fully autonomous IT operations? Join the conversation and share your thoughts.

What happens when the limits of traditional chip design collide with the relentless demand for AI and high-performance computing? In today’s episode, I sit down with Abhijeet Chakraborty from Synopsys to explore how multi-die chip architectures are redefining the future of semiconductors. With Moore’s Law slowing and the complexity of computing workloads skyrocketing, the industry is turning to multi-die solutions to push the boundaries of performance, scalability, and efficiency.

Synopsys is at the heart of this transformation, powering more than 95% of the world’s advanced chip designs. As AI, IoT, and next-gen computing drive an insatiable need for faster, more efficient processors, the semiconductor industry is undergoing a radical shift. By 2035, the multi-die chip market is expected to reach $411 billion, with at least 50% of new HPC chip designs set to be multi-die or 3D by the end of 2025.

Abhijeet walks us through the breakthroughs in Universal Chiplet Interconnect Express (UCIe), the growing role of silicon lifecycle management, and how Synopsys is pioneering multi-die integration to help companies accelerate time-to-market while balancing power, performance, and cost. We also discuss how AI itself is being used to optimize semiconductor design, ensuring these complex chip architectures remain reliable and efficient.

With major industry players investing heavily in this technology, the semiconductor landscape is at a critical inflection point. But what are the biggest challenges in making multi-die architectures mainstream? How will innovations in packaging, interposers, and hybrid bonding influence adoption? And with AI models demanding unprecedented levels of compute power, can multi-die designs truly keep pace with the ever-expanding capabilities of artificial intelligence?

Join us for this deep dive into the future of semiconductors, the rise of chiplets, and why the next decade will be defined by radical shifts in computing architecture. As always, I’d love to hear your thoughts—where do you see the future of chip design heading, and what challenges do you think the industry must overcome?

How can AI revolutionize the way we research and understand complex topics? In this Tech Talks Daily episode, I speak with Mel Morris, founder and CEO of Corpora.AI. This research engine redefines how individuals, businesses, and institutions approach knowledge discovery.

With traditional search engines struggling to deliver depth and AI tools often relying on outdated or incomplete data, Corpora.AI takes a different approach. The platform processes millions of documents per second using advanced AI and proprietary language graph technology, delivering research reports with real-time insights and source attribution.

Unlike conventional AI models that generate content from limited datasets, Corpora.AI dynamically ingests over 100 petabytes of open-source intelligence, ensuring users can access the most comprehensive, accurate, and up-to-date information.

Mel shares his vision for democratizing access to high-level research, making it possible for users across academia, medicine, law, finance, government, and journalism to gain deeper insights faster. We explore how Corpora.AI’s real-time data ingestion and multilingual capabilities allow professionals to conduct advanced research in one language and receive results in another.

 From patent research and market analysis to education and rapid learning, the applications of this research engine extend far beyond what traditional AI-powered search tools can offer.

We also discuss how Corpora.AI is tackling some of the biggest challenges in AI-driven research, including bias, credibility, and transparency. By providing research reports with 400-500 cited sources per query, the platform ensures that every insight is traceable, allowing users to verify information and make informed decisions.

With AI reshaping how we access and interpret knowledge, what does the future hold for research, education, and data-driven decision-making? Will AI-driven research engines like Corpora.AI replace traditional search methods? And how can businesses and institutions leverage these tools to stay ahead of the curve?

Join me for this fascinating discussion as we explore the future of AI-powered research and how Corpora.AI is setting a new standard for knowledge discovery.

What does the future of remote work look like, and how does it shape industries beyond just tech? In today’s episode, I sit down with Curtis Sparrer, co-founder and principal of Bospar, and Carole Barrow, VP of Public Relations & Content, as they celebrate Bospar’s 10th anniversary and share their journey as pioneers in remote-first PR.

Bospar has built a reputation for challenging industry norms, proving that remote work is not just viable but essential for fostering productivity, sustainability, and inclusivity. As they explain, working from home five days a week can reduce an individual’s carbon footprint by more than 50%, raising the question—why aren’t more companies embracing this model?

 Beyond environmental impact, remote work also removes key structural barriers for women and individuals with disabilities, ensuring a more equitable professional landscape. Curtis and Carole share eye-opening insights into how workplace flexibility is reshaping gender wage gaps and opening new opportunities for talent worldwide.

In addition to discussing the evolution of remote work, Bospar continues to innovate in the tech PR space, recently launching Pushy, an AI-powered PR assistant that helps their team provide clients with data-driven media strategies and instant guidance. As AI disrupts traditional workflows across industries, we explore what it means for the PR profession and how human creativity remains irreplaceable.

And if you’ve ever wondered how a children’s book fits into the world of public relations, Curtis and Carole reveal their latest initiative—a book designed to introduce young minds to PR as a career path. Public relations is often a "hidden profession," much like UX design or cybersecurity before it gained mainstream attention. Bospar is on a mission to demystify PR and inspire the next generation of media professionals.

As Bospar marks a decade of redefining the PR industry, we reflect on their biggest lessons learned, the challenges of staying remote-first in a world where “RTO tech bros” continue pushing for office mandates, and what the future holds for PR in an AI-driven world.

With media consolidation making it harder for companies to get noticed and journalists more overwhelmed than ever, what should businesses and PR professionals be doing differently? What does it take to break through the noise and get real media attention in 2025? And is remote work truly the future, or will companies continue to resist change?

Join us for a fascinating conversation about the intersections of PR, AI, remote work, and workplace equality. And as always, I’d love to hear your thoughts. Do you think remote work is the future, or is it time to return to the office?

What does the future of education look like when AI takes center stage? In this episode of Tech Talks Daily, I speak with Clara Aboel-Nil, a 17-year-old entrepreneur and student at Alpha High, a groundbreaking school with no teachers where AI-powered apps facilitate learning. Clara shares how this innovative approach has allowed her to build two successful AI-driven educational apps, TeachTap and AceBot AI, while still in high school.

Alpha High is redefining how students learn by compressing traditional academics into the first few hours of the day, freeing up afternoons for hands-on projects designed to make a real-world impact. Clara describes how this model has enabled her to integrate AI into nearly every aspect of her work, from content creation to app development, without needing a background in coding.

TeachTap, which helps students prepare for AP and SAT exams using AI-powered historical figures and interactive lessons, has already surpassed 100,000 downloads and ranks among the top educational apps. Her newest venture, AceBot AI, takes this concept even further by assisting students across a wider range of subjects.

During our conversation, Clara highlights the role of AI in shaping the future of entrepreneurship, the importance of prompt engineering as a skill, and why students must learn to work with AI rather than fear it. She also shares the challenges of building AI-powered apps as a teenager, from overcoming technical roadblocks to leveraging data-driven marketing strategies to make learning more engaging.

As AI continues to transform industries, education is no exception. Will AI-powered schools become the norm? How can young entrepreneurs leverage technology to create meaningful change? Tune in for an inspiring discussion on how AI is reshaping education and empowering the next generation of innovators.

Enterprise storage has long been dominated by tech giants with expensive, proprietary solutions—but what if there was a different way?

 In this episode, recorded at the IT Press Tour in Silicon Valley, I sit down with Brett Davis, Executive Vice President at iXsystems, to explore how TrueNAS is rewriting the storage rulebook with an open-source approach that delivers enterprise-grade performance without the hefty price tag.

With competitors like NetApp, Pure Storage, Dell, and HPE, TrueNAS stands apart as the world’s largest open-source storage platform, trusted by 60% of Fortune 500 companies and downloaded over 500,000 times annually across 190 countries. Brett shares the company’s fascinating origin story, which traces its roots back to Berkeley Unix in the 1960s, and how a commitment to transparency, affordability, and long-term growth has made TrueNAS a serious contender in today’s enterprise storage market.

We also discuss the major trends shaping IT infrastructure in 2025, from the rising costs of VMware licensing to the debate between on-prem and cloud storage—now growing at the same pace. Brett explains why organizations are increasingly pushing back against vendor lock-in, how open enterprise storage is lowering barriers for businesses of all sizes, and why IT leaders are prioritizing cost savings without sacrificing performance.

But where does TrueNAS go from here? Brett gives us a sneak peek into what’s next, including an upcoming software release focused on data optimization, deduplication, and high-performance enterprise storage.

Is open-source enterprise storage the future? And how can businesses break free from costly, restrictive storage contracts? Join the conversation and let us know what you think.

As part of the IT Press Tour in Silicon Valley, I had the opportunity to sit down with David Flynn, CEO of Hammerspace, to explore how the company is redefining the future of enterprise data storage.

At a time when AI-driven workloads and hybrid cloud computing are pushing storage demands to new heights, Hammerspace is stepping in with a fresh approach. Their Global Data Platform is designed to eliminate data silos, providing seamless access and orchestration for unstructured data across edge locations, data centers, and cloud environments.

Hammerspace is experiencing a breakout year, with tenfold revenue growth driven by the surging demand for AI storage solutions and hybrid cloud infrastructure. The conversation delves into how the company is enabling enterprises to move beyond traditional storage limitations. 

David explains the critical role of Parallel Network File System, or pNFS, in delivering high-performance storage solutions. We also discuss why it's gaining traction as organizations seek ways to process massive amounts of data with greater efficiency. Together, we explore the state of pNFS adoption, how Hammerspace is driving its evolution, and why it is a key pillar of its platform strategy.

Another important aspect of the discussion is the difference between global namespaces and true data orchestration. While global namespaces have gained attention in enterprise storage, David explains why simply having a global namespace is not enough. 

Orchestration is the missing piece that allows data to be moved, accessed, and utilized efficiently across distributed environments. By combining orchestration with a truly global namespace, Hammerspace is making data instantly accessible to users, applications, and compute clusters, no matter where they are located.

As AI workloads become increasingly complex, the need for a new approach to data management is clear. Enterprises require storage solutions that can keep up with the demands of high-speed analytics, GPU-driven AI, and hybrid cloud strategies. 

Hammerspace is positioning itself as a leader in this space, offering a way to bridge the gap between traditional storage architectures and the needs of modern enterprises.

The company’s rapid growth is also reflected in its recent leadership expansion. With a new Chief Revenue Officer joining the team and Hammerspace earning recognition as Product of the Year in TechTarget’s Storage Awards, the company is making significant strides in shaping the future of enterprise data storage.

With so much change happening in data infrastructure, what does the future hold for AI storage and enterprise data management? Will solutions like Hammerspace become the new industry standard for high-performance storage and orchestration? 

I’d love to hear your thoughts on this. Reach out and share your perspective, and stay tuned for more insights from the front lines of technology.

What will 2025 bring for enterprise technology? How will AI evolve, and what should businesses anticipate in the coming year? In this episode, I speak with Louis Landry, the newly appointed CTO of Teradata, as he shares his insights on the future of AI, data analytics, and the role of trust in technology.

With more than two decades of experience in software architecture and engineering leadership, Louis has played a pivotal role in shaping Teradata’s innovation strategy. Having led the company’s Technology and Innovation Office, his focus now extends to scaling AI-driven solutions that empower businesses with trusted intelligence.

As we look ahead, what will be the defining trends of 2025? Louis explores the growing impact of retrieval-augmented generation, the evolution of large-scale personalization, and the next phase of AI model efficiency. He also delves into the rise of agentic AI systems—where generative AI merges with traditional software to create more autonomous, intelligent processes.

But with rapid advancements come pressing concerns. How can organizations ensure AI remains explainable, transparent, and aligned with ethical standards? Louis emphasizes the importance of people-centered accountability, measurable business impact, and the foundational role of trusted data in AI’s success. As AI continues to reshape industries, businesses must navigate regulatory challenges, balance innovation with risk, and rethink their approach to data governance.

Beyond AI, Louis discusses the role of open-source technology in enterprise environments, the shift from project-focused to outcome-driven AI adoption, and how organizations can harness data harmonization to unlock new opportunities. He also shares his thoughts on the strategic investments businesses should prioritize in an increasingly complex digital world.

As AI and analytics continue to evolve, what strategies will define industry leaders in 2025? How can businesses stay ahead while ensuring AI remains trustworthy and effective?

Tune in to hear Louis Landry’s perspective, and let us know your thoughts. How do you see AI shaping the business landscape in the coming year?

What does it take to turn ideas into impactful books, and how is technology reshaping the publishing industry? In this episode of Tech Talks Daily, I sit down with Eric Jorgenson, CEO of Scribe Media, to explore the art and science of book creation, the future of self-publishing, and his vision for unlocking the world’s wisdom.

Eric, best known as the author of The Almanack of Naval Ravikant, has sold over 1.5 million copies of his books and distributed millions more in digital formats. He shares his journey from startup enthusiast to best-selling author and how that path ultimately led him to take the helm at Scribe Media. He discusses the company’s mission to help professionals turn their expertise into books without needing to type a single word, using structured, conversation-based methods that simplify the process for busy thought leaders.

We dive into the growing role of AI in book publishing, where it can enhance idea generation and content structuring but still falls short in replacing human expertise. With audiobooks now accounting for up to a third of royalties for some authors, Eric also discusses how multi-format publishing is shaping the future of the industry and what factors influence whether an author should narrate their own book.

Beyond publishing, Eric shares his investment philosophy in utopian technologies—supporting “obsessive geniuses” working on transformative innovations such as micro-reactors, advanced batteries, and even asteroid mining.

With publishing undergoing massive shifts and AI accelerating content creation, what does the future hold for authors, books, and knowledge-sharing? Join us as we explore the intersection of technology, storytelling, and big ideas.

How is AI transforming the way we interact with sound, voice, and digital personas? In this episode of Tech Talks Daily, I speak with Alex Bordanova, Chief Product and Technology Officer at Voicemod, about the company’s groundbreaking approach to AI-driven voice transformation and its expanding role beyond gaming.

Originally developed to enhance voice chat experiences for gamers, Voicemod has evolved into a powerful tool for real-time voice modulation, combining traditional digital signal processing (DSP) with cutting-edge AI. Alex shares how their technology enables users to alter their voice characteristics—changing timbre, pitch, and resonance—while maintaining clarity and intelligibility. With millions of users creating custom voices every month, Voicemod is at the forefront of AI-powered audio innovation.

We discuss the launch of Voicemod Key, a new hardware solution bringing voice transformation to console gaming and VR, allowing seamless integration between microphones and gaming platforms. Alex also highlights the importance of ethical AI practices, emphasizing Voicemod’s commitment to using professionally recorded and consented datasets to train its AI models responsibly.

Beyond gaming, Voicemod is forging partnerships with major entertainment brands, collaborating with Warner Bros, Rovio, and other global IP holders to bring iconic voices to life. As audio technology catches up to the advancements in visual media, what does the future hold for voice augmentation in entertainment, communication, and beyond?

How is artificial intelligence redefining industries, from corporate branding to cultural institutions? In this episode of Tech Talks Daily, I speak with Hussein Hallak, founder and CEO of Next Decentrum, about the profound ways AI and immersive technology are shaping customer experiences, education, and cultural preservation.

With over 25 years of experience spanning branding, technology, gamification, and education, Hussein is a serial entrepreneur who has launched more than 20 ventures and advised startups globally. His work at Next Decentrum focuses on using AI and immersive tech to create meaningful, lasting value—moving beyond hype to real-world applications that transform industries.

We explore how AI is not just optimizing efficiency but also revolutionizing storytelling, customer engagement, and global knowledge-sharing. Hussein discusses projects such as AI-powered holograms in tourism, the role of AI in making cultural heritage more accessible, and the challenges institutions face in adopting cutting-edge technology. He also shares his thoughts on AI's impact on learning, highlighting how it enables personalized, immersive experiences that accelerate skill development.

With Vancouver emerging as a unique hub for innovation across VFX, quantum computing, and fusion technology, we also examine the city’s growing tech ecosystem, its strengths, and the challenges of scaling without direct access to major funding centers.

As AI continues to push the boundaries of creativity and accessibility, how can businesses and cultural institutions harness this technology to build deeper connections and unlock new opportunities? Tune in for an insightful conversation on the future of AI-powered innovation.

How can the tech industry close the widening skills gap while creating meaningful career opportunities for diverse talent? In this episode of Tech Talks Daily, I speak with John Akkara, CEO and co-founder of Smoothstack, a company on a mission to bridge the gap between IT education and real-world industry needs.

John shares his inspiring journey—from an immigrant student on a tennis scholarship to a leader reshaping how tech talent is identified, trained, and deployed. His experiences with mentorship and career-defining opportunities now fuel his commitment to providing others with a clear pathway into technology careers.

We discuss how Smoothstack’s Hire-Train-Deploy model is different from traditional education and bootcamps, simulating real-world project environments where trainees work in agile teams, participate in peer code reviews, and gain hands-on experience tailored to employer needs. John highlights the severity of the IT skills gap—where demand far outpaces supply—and explains how industries like cybersecurity and software development are being affected.

Diversity and inclusion are core to Smoothstack’s approach, with a strong emphasis on increasing opportunities for underrepresented groups in tech. John discusses the company’s efforts to boost participation among women and individuals from disadvantaged backgrounds, as well as future plans to leverage remote work to expand access to tech careers in economically distressed areas.

What will it take to build a more inclusive and sustainable tech workforce? Tune in to learn how Smoothstack is making a real impact, and share your thoughts on how businesses can rethink talent development in the digital age.

How is the future of payments evolving, and what role does technology play in shaping seamless, secure, and scalable financial transactions? In this episode of Tech Talks Daily, I explore these questions with Niv Liran, Chief Product and Technology Officer at Unzer, a company redefining payments across Europe by integrating cloud technology, AI, and security-driven innovations.

Unzer has undergone a major transformation, unifying multiple acquired companies into a single, scalable platform, Unzer-1. Niv shares insights into this journey, explaining how consolidating payments infrastructure in the cloud has enabled greater agility, improved security, and ensured compliance in an increasingly regulated fintech landscape. He also highlights how Unzer’s approach to unified commerce is streamlining transactions for merchants, seamlessly bridging in-store, online, and mobile payments.

We discuss how AI is playing a crucial role in fraud detection and payment security, helping businesses monitor user behavior, detect anomalies, and prevent cyber threats while minimizing friction for customers. As Europe accelerates toward a cashless economy, Niv provides perspectives on how evolving consumer habits, the rise of digital wallets, and innovations like SoftPOS are reshaping the industry.

With a focus on localized payment solutions and deep regulatory expertise, Unzer is setting new standards in fintech. But as digital payments continue to evolve, how can businesses ensure they stay ahead of security challenges while providing seamless experiences for customers? Join us as we explore the technology behind modern payments and the future of commerce.

How can quantum computing move beyond theory and become a practical tool for businesses and researchers? In this episode of Tech Talks Daily, I explore this question with Michael Gleaves, a UK-based AI and quantum expert at Eviden, the Atos Group business specializing in advanced computing.

Eviden has been at the forefront of quantum innovation, launching Qaptiva™, a quantum computing ecosystem designed to integrate real-world applications with classical high-performance computing. The company recently announced its first hosted quantum computer, offering both physical and remote access to organizations looking to experiment and develop quantum-powered solutions. Michael shares insights into the company’s partnership with IQM Quantum Computers and how this collaboration is helping to improve qubit stability, enhance optimization models, and make quantum computing more accessible across industries.

We discuss real-world use cases where quantum computing is already showing promise, from optimizing logistics and financial modeling to accelerating materials science and chemical simulations. Michael also unpacks the challenges that businesses face in adopting quantum technologies, including the complexities of integrating quantum with existing HPC and AI workflows, translating real-world problems into quantum-compatible formats, and overcoming hardware limitations in the noisy intermediate-scale quantum (NISQ) era.

As quantum computing transitions from research labs to operational environments, how can businesses gain a competitive edge by engaging with these emerging technologies today? Join us for this deep dive into the state of quantum computing, its near-term applications, and what the future holds for industries looking to harness its power.

How can data and artificial intelligence reshape healthcare to create better patient outcomes? In this episode of Tech Talks Daily, I speak with Dr. Mitesh Rao, founder and CEO of OMNY Health, about his mission to build a more connected and collaborative healthcare system. With a background in emergency medicine and hospital leadership, he launched OMNY Health out of frustration with the siloed nature of healthcare data, which limits innovation and patient care.

OMNY Health now represents data from nearly 80 million patients across the U.S., serving as a bridge between healthcare providers, researchers, and life sciences companies. Dr. Rao explains how his company is tackling some of the biggest challenges in healthcare—unifying fragmented data, ensuring compliance with privacy regulations, and providing a secure foundation for AI-driven advancements in medicine.

We explore how this data network is enabling breakthroughs in precision medicine, pharmacovigilance, and clinical research, ensuring that new treatments are developed based on real-world evidence. Dr. Rao also shares insights on the role of AI in healthcare, the importance of diverse and representative data in training AI models, and how secure, compliant data-sharing can support the next wave of medical innovation.

With plans to expand OMNY Health's network to 150 million patients, what does the future hold for healthcare data and AI-driven medicine? Join the conversation to find out, and share your thoughts on the role of data in transforming patient care.

In this episode of Tech Talks Daily, I’m joined by Eric Ormson and Chris Rakel from AEG, an organization redefining how companies approach recruitment and workforce development. With years of experience in staffing specialized sectors like IT and engineering, Eric and Chris offer a fresh perspective on tackling the unique challenges of recruiting and retaining top technical talent in today’s competitive market.

We discuss how the recruitment landscape has evolved into a global competition for talent, where remote work and changing employee expectations are reshaping how companies attract and retain their workforce. Eric and Chris highlight why outdated recruiting methods, like relying solely on passive job postings, are no longer effective and how companies must focus on authenticity, transparency, and alignment with personal values to win over high-demand candidates.

For startups and companies in growth mode, we explore practical strategies to compete for technical talent in a crowded market. From budgeting 20% more for labor costs to adopting contract-to-hire and fractional employee models, Eric and Chris emphasize the importance of flexibility and a clear vision. They also discuss how AEG has successfully tripled its size since 2019 by emphasizing long-term value, meaningful connections, and a consultative approach in staffing.

As the conversation unfolds, we examine how company culture plays a critical role in attracting and retaining talent. With employees seeking more than just compensation, the focus has shifted toward fostering alignment with organizational goals and delivering on cultural promises. We also dive into how AI and automation are reshaping recruitment processes, balancing the efficiency of technology with the irreplaceable value of the human touch.

How can companies navigate the future of recruitment while staying authentic, adaptable, and people-focused? Tune in to discover actionable insights and strategies to help your organization thrive in the evolving world of workforce development.

In this episode of Tech Talks Daily, I speak with Chad Fowler, a mission-critical business leader at HED, to discuss how the future of data center design is being shaped by sustainability, community engagement, and the growing influence of AI.

Data centers currently account for around 1% of global electricity consumption, and with AI accelerating demand, their environmental impact is becoming a pressing challenge. Chad shares how HED is pioneering innovative solutions to create greener, more efficient, and community-friendly data centers.

Chad highlights strategies to make data centers more energy-efficient, from advancements in air management to exploring new materials like low-carbon concrete. He emphasizes the importance of integrating green design not only to reduce environmental impact but also to enhance profitability, attract premium tenants, and increase long-term asset value. We also explore how HED works with clients to continuously optimize planning and construction processes to minimize resource use and environmental harm.

One of the key challenges in developing data centers is overcoming opposition from local communities. Chad explains how educating the public about the critical role data centers play in supporting everyday technology can turn NIMBY ("Not In My Backyard") resistance into active cooperation. By designing aesthetically appealing, sustainable facilities and hosting community engagement events, HED helps communities understand the benefits of these essential infrastructures.

We also dive into how the rapid growth of AI is influencing data center design. From evolving cooling technologies to addressing changing power and space requirements, Chad discusses how data centers must adapt to remain flexible in an AI-driven world. He also provides insight into future trends, including the integration of modular reactors, advancements in battery technology, and the development of standardized sustainability metrics for the industry.

How are companies like HED shaping the future of data center design to balance sustainability, profitability, and community impact? Tune in to discover the innovative solutions driving the industry forward.

In this episode of Tech Talks Daily, I examine the transformative rise of agentic AI and its profound impact on the Gaming and tech industries in 2025. Joining me is Richard Dennys the CEO of Game Lounge, a company driving innovation in iGaming and achieving remarkable growth, including a 30% increase in net profit.

With a global reach across more than 130 SEO-driven websites in 60 countries, Game Lounge is shaping the future of the industry through its GLX startup incubator, designed to harness the power of agentic AI.

We discuss how agentic AI is revolutionizing efficiency and personalization while presenting significant challenges. As gambling regulations become stricter, agentic AI also introduces risks by enabling sophisticated black-market operations and illegal transactions. Could these regulatory pressures inadvertently drive users toward unregulated markets?

Beyond regulation, we explore how agentic AI is set to transform the workforce. By 2025, remote service roles may face disruption, but opportunities will emerge for those who transition into AI training and optimization roles. The conversation highlights how individuals can build skills in strategic decision-making and AI collaboration to thrive in this evolving landscape.

How will agentic AI reshape industries, challenge regulations, and transform careers in the coming years? Tune in to uncover these insights and more.

In this episode of Tech Talks Daily, I explore the cutting-edge intersection of AI and software development with Justine Gehring, an AI researcher at Moderne and the author of AI for Mass-Scale Code Refactoring and Analysis. Justine shares her insights into how AI is addressing one of the most complex challenges in the industry: large-scale code migrations and updates across enterprise environments.

While AI tools like GitHub Copilot and ChatGPT have excelled at assisting individual developers with writing and optimizing code, Justine explains how large-scale code refactoring requires an entirely different approach. At this level, AI must account for enterprise-wide complexity, maintain reliability, and ensure security across thousands of repositories. She also dives into Moderne’s use of open-source frameworks like OpenRewrite, which enable deterministic, verifiable code changes and combine machine learning for targeted tasks.

We also discuss how this transformative use of AI is reshaping collaboration between human developers and machines. From accelerating the onboarding process for developers to simplifying migrations for legacy systems, AI is offering groundbreaking opportunities to enhance productivity, maintainability, and innovation.

How are industries like banking, insurance, and others with vast, complex codebases benefiting from these advancements? And what does the future hold for AI-human collaboration in software development? Tune in to find out.

How is artificial intelligence reshaping the legal and intellectual property landscape? In this episode of Tech Talks Daily, I explore this evolving topic with Alex Watt, an IP lawyer at Howard Kennedy who specializes in helping clients navigate the complexities of intellectual property in the digital age.

We delve into the transformative role of AI in intellectual property management, including the implications of large language models and the challenges of copyright exemptions for AI training. Alex also shares insights on the importance of updating licensing agreements to reflect AI usage and the growing complexities of determining ownership in AI-generated content.

Our conversation touches on the emergence of AI-generated influencers, the regulatory challenges they present, and the broader implications for advertising and marketing in an increasingly AI-driven world. Alex also provides his perspective on the future of intellectual property in the metaverse, exploring how virtual worlds and blockchain technology might reshape digital ownership and innovation.

For startup founders, Alex offers invaluable advice on protecting intellectual property early, from trademark registration to ensuring proper IP ownership through contracts. He emphasizes the need to stay ahead of legal and regulatory obligations, especially in light of the rapid evolution of AI and privacy laws.

As we enter an era of unprecedented technological change, what steps should businesses take to protect their intellectual property and navigate the shifting legal landscape? Join us for this insightful discussion and share your thoughts on the future of AI and IP in the digital age.

How can businesses maximize the potential of AWS to drive innovation, efficiency, and scalability? In this episode of Tech Talks Daily, I speak with Jonathan LaCour, CTO of Mission Cloud. The company focuses exclusively on AWS, helping organizations manage cloud adoption, migration, and optimization while addressing complex challenges in security, cost control, and application development.

Jonathan shares practical insights into building successful cloud migration strategies, emphasizing the need for clear planning, secure infrastructure, and governance measures. He also discusses how Mission Cloud combines AWS-native tools with third-party solutions to create robust security frameworks that prevent and respond to cyber threats effectively.

We explore the importance of automation in modern cloud environments, highlighting how Mission Cloud enables businesses to rapidly deploy applications and optimize their workflows. Real-world examples include helping the Boston Celtics transition to a cloud-native approach, showcasing the tangible benefits of these strategies.

Jonathan also provides an overview of integrating AI and machine learning into cloud operations. From personalized customer experiences to automated processes, these technologies are being used to tackle real-world business challenges. He emphasizes the importance of aligning AI projects with specific business objectives to achieve measurable results.

Finally, the conversation covers strategies for ongoing cost optimization, stressing the importance of proactive governance and targeted improvements to manage cloud expenses effectively. How can companies harness the power of AWS to innovate while ensuring their cloud operations are secure, scalable, and cost-effective?

Join us to learn more and share your thoughts on the future of cloud technology.

How is artificial intelligence reshaping the finance industry, and what role do CIOs play in driving digital transformation?

In this episode of Tech Talks Daily, I connect with Sumit Johar, CEO of BlackLine, a leader in digital finance transformation. With over 20 years of enterprise cloud experience spanning cybersecurity, automation, and data governance, Sumit brings a wealth of expertise to the conversation.

Sumit shares insights into the evolving role of the CIO and how deeper collaboration with CFOs is driving innovation and efficiency in finance. We explore the transformative power of AI, from streamlining financial processes to enabling smarter decision-making, and discuss its potential to shape industries beyond finance. Drawing from his leadership experiences at Automation Anywhere and MobileIron, Sumit illustrates how AI is unlocking new opportunities while addressing ethical considerations in its adoption.

As businesses navigate an era of rapid digital transformation, how can they leverage AI to redefine finance and technology while ensuring ethical use? Tune in to discover Sumit’s perspectives and join the conversation on the future of AI in reshaping global industries.

Can artificial intelligence redefine the future of drug development and clinical trials? 

In this episode of Tech Talks Daily, I sit down with Dave Latshaw, Ph.D., the internationally recognized AI and machine learning expert who serves as CEO of BioPhy. Founded in 2019, BioPhy focuses on using AI to revolutionize the later stages of drug development, a critical yet often overlooked segment of the pharmaceutical pipeline.

Dave shares insights into BioPhy’s innovative platform, which combines scientific, clinical, and regulatory insights to predict clinical trial success and steer capital allocation. At the heart of BioPhy’s approach is its patent-pending AI engine, BioLogic, and generative AI solution, BioPhyRx, designed to enhance clinical trial outcomes, reduce failure rates, and accelerate the time to market for life-saving drugs. Dave also explores how BioPhy’s operational assessment model prioritizes immediate ROI by addressing challenges downstream from drug discovery.

In our conversation, Dave delves into the complexities of AI adoption in pharma, including the challenges of scaling AI solutions, managing high computational costs, and overcoming stakeholder fears about job displacement. Drawing from his experience at Johnson & Johnson, where his AI innovations contributed to the global rollout of the COVID-19 vaccine, Dave reflects on lessons learned and the transformative potential of AI in healthcare.

As we look ahead, Dave discusses the future of AI in reducing administrative burdens on clinicians, automating regulatory compliance, and enabling groundbreaking advancements like DeepMind’s AlphaFold. 

How can AI transform not just how we develop drugs but also the healthcare outcomes for millions of people worldwide? Tune in to find out, and share your thoughts on the role of AI in the future of medicine.

How can technology revolutionize road safety for the 1.5 billion drivers on the road today?

In this episode of Tech Talks Daily, I speak with Hari Balakrishnan and Bill Powers, co-founders of Cambridge Mobile Telematics (CMT), the world’s largest telematics service provider. Their unique partnership—blending Hari’s engineering genius, honored with the 2023 Marconi Prize, and Bill’s entrepreneurial prowess as an “atypical tech CEO”—has built a unicorn company dedicated to making roads safer.

We explore how CMT’s AI-driven platform, DriveWell®, leverages sensor data from IoT devices like smartphones, dashcams, and connected vehicles to provide a unified view of driver behavior. By collaborating with insurers, automakers, and the public sector, CMT not only assesses risk but actively incentivizes safer driving behaviors, reducing crash rates by up to 20% with some partners.

Hari and Bill also delve into the challenges of addressing "phone distraction," which contributes to nearly a third of crashes, and the paradox of advanced safety tech not correlating to fewer accidents. They highlight the importance of improving infrastructure for connected and autonomous vehicles, refining human-machine interfaces, and developing solutions that protect vulnerable road users outside of vehicles.

As we unpack the story of how an “odd couple” with complementary skills created a global leader in road safety, we’ll also look to the future of mobility and the transformative role technology will play. What does the next generation of driving safety look like, and how can we all contribute to making the roads safer?

Tune in to find out, and share your thoughts on the evolving landscape of mobility.

How can we safeguard our digital infrastructure in the age of quantum computing? In this episode of Tech Talks Daily, I speak with Rahul Tyagi, CEO of SECQAI, a NATO-backed leader in quantum-resilient and memory-safe semiconductor solutions. As quantum computing accelerates, the risks to current encryption systems grow, making it critical to rethink how we protect our most sensitive data and systems.

Rahul shares insights into the looming quantum computing threat, where "steal now, decrypt later" strategies are already compromising long-term data security. He explains how SECQAI’s groundbreaking secure semiconductor architecture, built on memory-safe principles, can block up to 70% of global cyberattacks while ensuring readiness for post-quantum cryptography.

We discuss the pivotal role of collaboration between governments, industry, and academia in creating innovative solutions, from Cambridge University's Cherry architecture to partnerships with Oxford Quantum Circuits for quantum machine learning research. Rahul also highlights key timelines for quantum resilience, including global policy initiatives such as NIST’s roadmap and aggressive adoption goals from agencies like CISA and the Australian Signals Directorate.

As we stand at the crossroads of quantum advancement and cybersecurity, how can organizations and policymakers align to future-proof critical infrastructure? Join us as we explore these pressing challenges and solutions, and let us know your thoughts on what the quantum-resilient future holds.

How can technology empower asset managers to navigate increasingly complex investments while optimizing their workflows? In this episode of Tech Talks Daily, I speak with Oleg Movchan, CEO of Enfusion, a company revolutionizing investment management through its integrated, SaaS-native platform.

With a career spanning investment banking, hedge funds, and leading Enfusion through an IPO, Oleg shares insights into the challenges and opportunities in modern asset management.

We explore how Enfusion helps firms seamlessly integrate front, middle, and back-office operations, enabling greater agility and collaboration. Oleg sheds light on how blending liquid and illiquid assets, managing global operations, and embracing emerging market strategies are reshaping the industry. He also discusses the role of clean, unified data environments in leveraging AI and analytics to drive efficiency and innovation.

From the rise of private credit as a digital frontier to the importance of streamlining workflows across departments, this conversation offers practical advice for asset managers looking to stay ahead. Oleg emphasizes the need for continuous technology evaluation, tailored client engagement, and the integration of robust data architectures to empower decision-making and optimize trading strategies.

As asset managers face growing complexity, how can cross-collaboration and tech-driven enhancements ensure their success? Tune in to find out, and let us know your thoughts on the future of investment management.

Have you ever stopped to think about the transformative power of technology on our daily lives and the extraordinary minds behind these innovations?

In this episode, I sit down with Thomas M. Coughlin, President of IEEE, the world’s largest technical professional organization, to explore a remarkable announcement that underscores the profound impact of technology on society: the IEEE Medal of Honor monetary prize is being increased to an astounding $2 million starting in 2025.

Thomas shares insights into why IEEE has elevated this award to such a prestigious level, placing it among the world’s largest monetary prizes. We discuss the 100-plus-year history of the IEEE Medal of Honor and its role in celebrating the pioneers behind revolutionary innovations like the Internet, life-saving medical technologies such as CAT scans, MRIs, and pacemakers, and the development of transistors and semiconductors that form the backbone of modern electronics.

Beyond the award itself, Thomas provides a fascinating look into IEEE’s global efforts, powered by 460,000 members across 190 countries. From addressing society’s most pressing issues to fostering ethical development in emerging technologies like AI, IEEE is advancing technology for humanity in ways that ripple across industries and communities worldwide.

We also delve into the rigorous criteria for the IEEE Medal of Honor and how it celebrates not just innovation, but the profound societal and professional impacts of technological breakthroughs. With the next Medal of Honor recipient set to be announced in February 2025, this conversation offers a timely glimpse into how IEEE is shaping the future of technology and honoring the legacy of those who have driven human progress.

What do you think about the growing recognition of the role technology plays in solving global challenges? I’d love to hear your thoughts. Share your ideas and join the conversation!

On this episode of Tech Talks Daily, I am joined by Sumeet Kumar, CEO of Innatera, to discuss why neuromorphic computing might be the most transformative technology of the coming year.

 Neuromorphic processors are no longer just a concept confined to research labs; they’re poised to revolutionize industries ranging from IoT to wearables, bringing unparalleled efficiency and autonomy to edge devices.

Sumeet explains how Innatera’s groundbreaking Spiking Neural Processor (SNP) T1 bridges the gap between biological brains and artificial intelligence, enabling real-time decision-making with ultra-low power consumption. 

With this technology, AI can now process complex data directly at the source, eliminating the need for energy-intensive cloud-based processing.

I learn more about the unique capabilities of the SNP T1 as Sumeet highlights how its efficiency extends battery life for devices like video doorbells and wearables while opening doors to previously unattainable applications in industrial IoT and healthcare diagnostics.

We also explore the broader implications of neuromorphic processing for the AI landscape, discussing how it addresses challenges of scalability, energy efficiency, and sustainability. With commercialization on the horizon, Sumeet shares why 2025 is a tipping point for neuromorphic technology and what this evolution means for the future of smart devices.

As neuromorphic computing shifts from theory to reality, what opportunities and challenges lie ahead for industries adopting this innovation? And how might this technology redefine our expectations of AI-powered devices in our daily lives?

As always, I’d love to hear your perspectives. Where do you see the greatest potential for neuromorphic processors? Share your thoughts with me.

In this episode of Tech Talks Daily, I sit down with Gautam Singh, Head Business Unit of WNS Analytics and Co-founder & CEO of The Smart Cube, now part of WNS. With decades of experience in management consulting and data-driven business innovation, Gautam shares how WNS is helping organizations unlock the potential of analytics and AI to drive agility, resilience, and growth in today’s digital-first world.

We explore the transformative role of WNS Analytics in guiding companies through complex regulatory landscapes while prioritizing practical use cases for AI and data intelligence.

 Gautam explains how businesses can achieve measurable ROI from analytics investments, including an inspiring example of a retail client achieving 13.5x returns. As we dive into the importance of data strategy and infrastructure, he offers insights on why organizations should build “data ponds” before scaling to “data lakes” and how prioritizing the right use cases leads to better outcomes.

The conversation also touches on the human element of AI integration. Gautam emphasizes the importance of combining artificial intelligence with human expertise in a "maker-checker-consumer" model to ensure ethical, traceable, and effective implementation. We also examine the challenges businesses face when navigating the hype surrounding AI and analytics, shedding light on why a balanced, collaborative approach is key.

Looking ahead, Gautam shares his thoughts on the future of enterprise data and AI, as well as the necessity of adaptability in a world of rapid technological change. Whether you're a tech leader, entrepreneur, or enthusiast, this discussion is packed with actionable insights on leveraging data intelligence to transform operations and spark innovation.

What role will data and AI play in shaping the next chapter of business evolution? Tune in to uncover the possibilities.

How can advertisers navigate today’s fragmented media landscape and deliver better ad experiences for consumers? In this episode of Tech Talks Daily, I’m joined by Nada Bradbury, CEO of AD-ID, to discuss how universal ad-tracking solutions are transforming the ad-tech industry.

As audiences seamlessly switch between linear and digital content, the critical need for a standardized system like AD-ID has never been more urgent. Nada explains how AD-ID provides a universal registry for creative ads—assigning unique identifiers to each ad, similar to UPC codes for products. This innovation addresses key challenges in the advertising world, such as ad frequency management, cross-platform measurement, and balancing personalization with consumer trust.

The result? A better content experience for consumers and a more efficient, optimized approach for brands. We explore the findings of a recent Harris Poll survey highlighting the consumer impact of ad overload, with 61% of respondents stating that excessive ad frequency discourages them from buying a product. 

Nada shares how AD-ID is helping brands prevent overexposure, improve targeting, and deliver relevant ads without compromising privacy. With 76% of viewers desiring better-targeted ads, AD-ID’s metadata-driven approach offers a powerful solution for creating engaging and tailored experiences.

The conversation also delves into the broader role of AD-ID in supporting cross-platform transparency and accountability, as well as its potential to set global standards for ad measurement and optimization. Whether you’re in advertising, marketing, or simply curious about how technology is improving the consumer experience, this episode offers valuable insights into the future of ad-tech.

How do you see ad-tracking solutions like AD-ID shaping the future of advertising and consumer trust? Join the discussion and share your thoughts!

What does the future of e-commerce look like, and how are emerging technologies shaping the industry? In today’s episode of Tech Talks Daily, I sit down with Michaela Weber, SVP and GM of Payments & Global Business Development at BigCommerce, to explore key trends and predictions for 2025. BigCommerce, a leading open SaaS platform, is driving innovation for businesses of all sizes, and Michaela offers a front-row view of the transformative changes ahead.

We discuss the role of advanced AI models in enhancing e-commerce experiences, from personalized product recommendations to dynamic pricing and predictive analytics. Michaela explains how AI is enabling brands to create hyper-personalized customer journeys while optimizing inventory and supply chains with IoT and automation. However, with these innovations come challenges, including the need to balance personalization with privacy concerns and ensure cybersecurity in an increasingly complex digital landscape.

Cybersecurity is a major focus of the conversation, as Michaela highlights how generative AI is giving rise to new types of cyber threats targeting retail and supply chains, particularly during peak seasons. She shares practical advice for businesses to strengthen their security frameworks while maintaining frictionless customer experiences. Additionally, we delve into the latest innovations from BigCommerce, including its Catalyst headless commerce architecture and tools that offer agility and customization to adapt to a rapidly evolving market.

As we look ahead, Michaela provides a glimpse into the future of e-commerce in 2025, with a focus on unified commerce across in-store and online channels, accelerated checkout experiences, and deeper AI integration. Whether you're a business leader, retailer, or technology enthusiast, this episode provides valuable insights into how the e-commerce industry is evolving and what it means for brands and consumers alike.

What do you see as the most exciting opportunities for e-commerce in the years ahead? Join the conversation and share your thoughts!

How do you transform a 100-year-old institution into a modern hub for innovation and technology while staying true to its legacy?

 In today’s episode of Tech Talks Daily, I’m joined by Dr. Joyce Brown, the first woman and first African American president of the Fashion Institute of Technology (FIT). With 26 years of leadership, Dr. Brown has revolutionized this globally renowned institution, blending technology and creativity to shape the future of fashion education.

Dr. Brown shares how she took over an antiquated institution in 1998 and brought it into the modern era, quadrupling the use of technology in teaching and making FIT a center for innovation and entrepreneurship. At the heart of this transformation is the DTech Lab, FIT’s on-campus innovation hub, where students collaborate with brands like Adidas, Netflix, and Girl Scouts to solve real-world challenges. From redesigning Girl Scouts uniforms to using IBM Watson for brand DNA analysis with Tommy Hilfiger, these projects highlight how FIT bridges the gap between education and industry.

We also explore FIT’s emphasis on sustainability and bio-design, where students work with materials like mycelium and kombucha to create sustainable fibers, and even maintain a natural dye garden for eco-friendly fabric coloring. Dr. Brown discusses how FIT has adapted to major global challenges, including the COVID-19 pandemic and social justice movements, by creating safe spaces for dialogue and encouraging students to express their concerns through their creative work.

This episode offers a fascinating inside look at how FIT prepares the next generation of fashion professionals by integrating technology, sustainability, and innovation into its curriculum. Whether you're interested in the intersection of fashion and technology or the future of education, this conversation with Dr. Joyce Brown will leave you inspired.

How do you see technology shaping the future of education and creative industries? Join the conversation and share your thoughts!

How can micro-credentials and short courses reshape the future of higher education to meet the demands of today’s workforce? In this episode of Tech Talks Daily, I’m joined by Rob Telfer, Director of Higher Education at D2L, to explore how these innovative course formats are transforming education. As universities face challenges such as declining international enrollments and increased competition, micro-credentials present a flexible and scalable solution for learners and institutions alike.

Rob shares insights on how micro-credentials enable universities to tap into the growing lifelong learning market, estimated to reach $800 billion by 2030, while helping learners acquire specific skills quickly and affordably. We discuss the significant impact micro-credentials can have on workforce development, with 72% of employers more likely to hire candidates with these qualifications. Additionally, Rob highlights their potential to foster collaboration between universities, governments, and industry, ensuring programs align with real-world needs and maintain high educational standards.

However, implementing micro-credentials isn’t without challenges. Rob outlines the hurdles institutions face, from securing resources and faculty support to building infrastructure and addressing credibility concerns. Drawing on D2L’s extensive experience in education innovation, he shares practical strategies for universities, including starting with pilot programs, leveraging data-informed approaches, and marketing these programs effectively to students and employers.

We also explore how D2L’s Brightspace platform supports the delivery of micro-credentials and adaptive learning through its scalable, flexible, and AI-enhanced features. Whether you’re an educator, student, or employer, this episode provides valuable insights into how micro-credentials and short courses are reshaping the future of higher education.

What role do you see micro-credentials playing in addressing the skills gap and workforce development? Share your thoughts and join the conversation!

What’s next for AI, and how does it compare to the transformative technology waves that have shaped our world? In today’s episode of Tech Talks Daily, I’m joined by Chet Kapoor, CEO of DataStax and a veteran leader with over two decades of experience at tech giants like Google, IBM, and BEA Systems. Chet’s career journey began as an intern working alongside Steve Jobs at NeXT, where he learned invaluable lessons about leadership, innovation, and an obsession with user experience.

Chet walks us through the four major technology waves—client-server, web, mobile, and cloud—offering insights into how each wave optimized different aspects of technology and paved the way for the AI revolution. He explains why the AI wave is not only unique but also the most impactful yet, highlighting its shift from digitalization to “agentification,” where AI agents are designed to focus on effectiveness rather than just efficiency.

We also dive into the practicalities and challenges of AI adoption, including its potential impact on jobs and the economy. Chet provides a balanced perspective, calming anxieties while emphasizing the importance of human-AI collaboration. He shares real-world examples of AI-powered innovation, from education to healthcare, demonstrating how AI is reshaping industries and enhancing productivity.

Leadership in the AI era is another key focus of our discussion. Chet introduces his philosophy of “inspired execution,” encouraging leaders to move the human heart, believe in AI’s potential, and inspire their teams to embrace it. He offers actionable advice for businesses looking to integrate AI, starting with mission-critical projects and iterating for effectiveness.

Tune in to hear Chet’s global perspective on AI, gleaned from his experiences presenting at the World Economic Forum in Davos, and learn about the opportunities and ethical challenges that lie ahead. What do you think is the most significant aspect of the AI wave, and how do you see it shaping the future? Join the conversation and share your thoughts!

How can cutting-edge air decontamination technology reshape healthcare and reduce infections? In today’s episode of Tech Talks Daily, we explore this question with Dr. Deborah Birx, Chief Medical & Science Advisor at ActivePure Medical and former White House Coronavirus Response Coordinator, and Amy Carenza, Chief Commercial Officer at ActivePure. Together, they discuss how ActivePure’s innovative technology is transforming air and surface purification in healthcare and beyond.

ActivePure’s advanced photohydrolysis technology, built on principles originally developed by NASA, replicates natural outdoor air purification indoors. Unlike traditional cleaning or filtration methods, this FDA-cleared Class II medical device offers continuous protection in occupied spaces, achieving remarkable results: a 96-99% reduction in MRSA and a 70% decrease in total healthcare-associated infections (HAIs). Dr. Birx and Amy explain how this breakthrough technology deactivates pathogens in real time, effectively filling the gaps left by manual cleaning processes.

The conversation delves into the broader implications of ActivePure's solutions, from reducing hospital stays and improving healthcare outcomes to applications in food production, energy-efficient air management, and even residential use. Dr. Birx shares insights from recent studies, including findings published in PLOS ONE and the Journal of Infection Control, which highlight the technology’s safety and efficacy. Meanwhile, Amy Carenza discusses how ActivePure is driving innovation to meet operational, quality, and sustainability goals across various industries.

As we look to the future, the discussion touches on upcoming advancements in infection prevention, particularly for multi-drug resistant organisms, and the potential for ActivePure’s technology to align with efforts to reduce chemical exposures and improve overall public health.

How do you see air decontamination technology shaping healthcare and other industries? Join us for this fascinating discussion and share your thoughts!

How is AI reshaping the social media landscape and empowering brands to maximize their impact? In today’s episode of Tech Talks Daily, I’m joined by Scott Morris, CMO of Sprout Social, to explore the transformative role AI is playing in marketing, customer service, and social media management.

Sprout Social, a leader in social media solutions with over 30,000 customers, has been at the forefront of integrating AI into its platform to help businesses of all sizes drive efficiency, improve personalization, and gain deeper insights into their audience.

Scott dives into Sprout Social’s research on AI and social media, sharing valuable insights into how brands can leverage AI to meet shifting customer expectations. From revolutionizing customer service with real-world examples from Salesforce and Casey’s to using AI for advanced targeting, tailored messaging, and automation, this conversation uncovers the practical ways AI is being applied to solve real business challenges.

We also discuss how AI is helping organizations create an AI-first culture, empowering marketers with tools that streamline workflows, analyze data more efficiently, and unlock creative potential—all without displacing jobs. Scott shares a glimpse into Sprout Social’s recent AI innovations, including tools that generate executive summaries of social media performance, analyze audience sentiment, and assist in crafting impactful social media posts.

Looking ahead, Scott offers predictions for AI’s evolution in the marketing industry by 2025, highlighting the opportunities for brands to embrace advanced tools, responsible AI practices, and multimedia content integration.

Whether you’re curious about how AI is changing the buyer journey or looking for actionable strategies to adopt AI in your marketing efforts, this episode offers key takeaways for staying ahead in a rapidly evolving digital world.

How do you see AI shaping the future of social media and marketing? Share your thoughts and join the conversation!

How is agentic AI reshaping cloud security and what does the future hold for this transformative technology? In today’s episode of Tech Talks Daily, I sit down with Loris Degioanni, the founder and CTO of Sysdig, to explore how agentic AI is driving innovation in cloud security. As the creator of Sysdig and the CNCF runtime security tool Falco, Loris brings a wealth of expertise to the conversation, having also been a key contributor to the widely-used open-source network analyzer, Wireshark.

We discuss how Sysdig has pioneered the first AI-powered cloud security tool using agentic AI. This groundbreaking approach enables AI agents to function as domain-specific experts, working collaboratively to provide rapid threat detection—reducing response times to under 10 minutes in cloud environments where speed is critical. Loris shares insights into the cultural and technological factors fueling the rise of agentic AI and its potential to revolutionize cybersecurity.

The conversation also delves into the promises and pitfalls of agentic AI, such as its ability to handle complex tasks in a way that mimics human teams, alongside challenges like latency and cost. Loris highlights how open-source tools like Falco and Sysdig play a crucial role in advancing AI by making domain-specific knowledge publicly accessible, empowering the broader developer community to optimize AI capabilities.

Looking ahead, we explore the future of AI in enterprise and cloud security, including predictions about how conversational interfaces and agentic AI architectures will redefine how businesses interact with and manage security tools. Whether you're curious about the evolution of AI in cybersecurity or interested in learning how Sysdig is leveraging this innovation to address today’s challenges, this episode offers a fascinating glimpse into the intersection of technology and security.

What are your thoughts on the role of agentic AI in shaping the future of cybersecurity? Join the discussion and share your perspective!

How are businesses preparing for the evolving threats and challenges in the world of cybersecurity? In today’s episode of Tech Talks Daily, I’m joined by Dominik Samociuk, Head of Security at Future Processing, a technology consultancy and software delivery partner with over two decades of experience. 

Together, we explore the current state of cybersecurity and dive into predictions for 2025, focusing on emerging threats, regulatory changes, and the critical importance of cyber resilience.

Dominik shares insights into the rise of AI-driven attacks, including deepfakes and automated phishing campaigns, which are increasing in sophistication and volume. These threats are forcing organizations to rethink their strategies, moving beyond prevention to comprehensive approaches that include detection, response, and recovery. We also discuss how businesses can strengthen their defenses through zero-trust architecture, third-party risk management, and enhanced employee training—especially as the human factor remains one of the most vulnerable aspects of cybersecurity.

Regulatory changes, such as the NIS2 Directive, DORA, and the upcoming Cyber Resilience Act, are also driving a shift in how organizations approach security. Dominik explains how businesses can align with these evolving requirements by conducting regular gap analyses, automating compliance processes, and leveraging frameworks like ISO 27001 and NIST.

Data privacy in the era of AI is another key focus of our discussion. Dominik outlines the steps businesses must take to classify and protect sensitive data, ensure transparency with stakeholders, and build robust incident response plans. Additionally, we delve into the importance of embedding security practices throughout the development lifecycle and the role of open-source intelligence in identifying vulnerabilities and emerging threats.

Whether you’re looking to stay ahead of cyber threats or understand how regulatory changes will impact your organization, this episode provides actionable insights to navigate the complexities of modern cybersecurity. How is your business preparing for the future of cyber resilience? Join the conversation and share your thoughts!

How can AI transform the healthcare industry and help solve the challenges of rising costs, staffing shortages, and administrative inefficiencies? In today’s episode of Tech Talks Daily, we explore this question with Alex Zekoff, co-founder and CEO of Thoughtful AI.

Thoughtful AI is a company revolutionizing healthcare administration through its innovative, role-based AI agents. These fully human-capable AI solutions—CAM, EVA, and PHIL—are designed to streamline critical but tedious tasks like claims processing, patient eligibility verification, and payment posting.

Healthcare providers in the U.S. currently face mounting pressures, from high staff turnover and costly manual processes to claim denials and prolonged payment cycles. Thoughtful AI's solutions offer a new way forward. By automating these administrative workflows, providers can significantly lower costs, reduce days sales outstanding, and boost claims approval rates. The result? Healthcare organizations can shift their focus and resources from back-office operations to improving patient outcomes.

We discuss how these AI agents combine cutting-edge technologies like RPA, OCR, and large language models to deliver end-to-end automation. With implementation timelines as short as three to six months, these systems not only improve efficiency but also address critical data security concerns by providing full audit trails and real-time analytics without storing sensitive patient data.

Beyond the numbers, we explore the broader impact of AI in healthcare, including how Thoughtful AI’s innovations could pave the way for a shift in healthcare spending—reducing administrative overhead and enabling a more patient-centered approach. This episode highlights real-world examples of how organizations are scaling their operations without adding to administrative headcount, achieving tangible results that signal a new era for healthcare efficiency.

What role do you think AI will play in shaping the future of healthcare and government systems? Join us to uncover the possibilities, and share your thoughts!

How can businesses thrive in the face of rapid technological advancements and increasing IT complexity? In today’s episode of Tech Talks Daily, I’m joined by Herb Hogue, CTO of Myriad360, a global systems integrator renowned for its expertise in bridging the gap between technology providers and end-users. With over 500 partnerships with top-tier technology companies, including Nvidia, HP, Cisco, and Palo Alto Networks, Myriad360 delivers customized, scalable IT solutions that align with strategic business objectives.

Herb shares insights into the rapidly evolving IT landscape, highlighting key trends such as the pervasive impact of AI, the growing importance of robust security measures, and the challenges of scaling IT infrastructure to meet demand. He discusses Myriad360's unique approach to navigating these complexities by focusing on data-driven decision-making, optimizing ROI, and integrating cutting-edge technologies into seamless end-to-end solutions.

We also explore the human side of IT—how cultural alignment, skills development, and fostering collaboration between channel partners, distributors, and end-users drive innovation and sustainable business growth. Herb provides real-world examples of how Myriad360’s white-glove service approach addresses multi-vendor environment challenges, improves credentialing and security visibility, and builds long-term client relationships based on trust and consistency.

Whether you're curious about the future of AI in IT or looking for strategies to optimize IT operations in multi-vendor ecosystems, this episode offers valuable insights into navigating today’s IT challenges and staying ahead in a competitive landscape. What are your thoughts on the evolving dynamics of IT and how businesses can adapt? Share your perspective and join the conversation!

How can businesses navigate the challenges of IT unpredictability and ensure operational continuity in an ever-evolving tech landscape? In today’s episode of Tech Talks Daily, I’m joined by Geoff Hixon, VP of Solutions Architecture at Lakeside Software, to explore how data-driven strategies are reshaping IT resilience and recovery. Geoff shares his experiences in supporting Lakeside customers during the CrowdStrike global IT outage, including insights into the rapid recovery process for a global airline and a multinational oil and gas company.

Geoff also provides an exclusive preview of Lakeside Software’s highly anticipated IT Resilience report, offering valuable insights into how organizations can transition from reactive to proactive and eventually autonomous IT management. By focusing on real-time data collection and visibility, he highlights the importance of identifying issues before they escalate and shares how enhanced data insights can prevent costly errors—like a bank's multimillion-pound oversight caused by missing a simple cable requirement.

Additionally, we discuss the role of AI in the journey toward autonomous IT, where routine support tasks are automated to free up IT teams for more strategic initiatives. Geoff illustrates how Lakeside’s approach helps organizations build trust in automation through step-by-step implementation and testing, paving the way for self-healing IT systems.

Tune in to discover how forward-thinking organizations can harness the power of data, automation, and proactive strategies to build IT systems that are not only resilient but also prepared for the challenges of tomorrow. Wha

How can cutting-edge technology help combat one of the most devastating contributors to climate change? In today’s episode of Tech Talks Daily, I speak with Carsten Brinkschulte, CEO and co-founder of Dryad Networks, to explore the innovative solutions his company is bringing to wildfire detection and forest health monitoring. Dryad’s groundbreaking “Internet of Trees” uses AI-powered sensors, solar energy, and IoT networks to address the challenges of forest management on a global scale.

Carsten shares the inspiration behind Dryad Networks, which stemmed from the catastrophic 2018 wildfires and his drive to tackle the staggering statistic that wildfires account for up to 20% of global CO2 emissions. We dive into the technology powering Dryad’s solutions, including small, solar-powered gas sensors that act as "electronic noses," detecting wildfire indicators like hydrogen and carbon monoxide far earlier than traditional methods. These sensors, supported by AI and machine learning, operate on edge computing to provide ultra-early detection even in the most remote areas.

Beyond wildfire prevention, Carsten explains how the technology is transforming forest management. From soil moisture monitoring and illegal logging prevention to tree growth tracking and CO2 sequestration measurement, the possibilities of Dryad’s network extend far beyond fire detection. With their recent strategic partnership with Kinéis, Dryad is now integrating satellite connectivity to expand deployment into previously unreachable regions.

As we discuss the future, Carsten outlines Dryad’s ambitious goal to prevent 3.9 million hectares of forest from burning by 2030, saving an estimated 1.7 billion tonnes of CO2 emissions. This conversation underscores the power of AI and IoT in addressing pressing global issues and highlights the potential of technology to drive real-world impact.

What role do you think technology like this will play in combating climate change? Can AI and IoT truly transform how we protect and manage our forests? Share your thoughts and join the conversation!

How do advancements in technology continue to redefine everyday experiences? In today’s episode of Tech Talks Daily, we discuss the innovation behind Ulike’s Intense Pulsed Light (IPL) technology, which is setting a new standard for at-home hair removal. 

We discuss the science and precision that underpin Ulike’s Air 3 Deluxe and Air 10 devices. With patented Sapphire Ice Cooling technology, these devices maintain skin temperatures at a comfortable 18°C, ensuring an almost painless experience even on sensitive areas. Their advanced IPL technology targets hair follicles at the root, offering up to 96% hair reduction in just two weeks. The Air 10 takes things further with dual-light technology and salon-inspired SHR Mode, making full-body treatments faster and more efficient than ever.

Safety and convenience remain central to Ulike’s design philosophy. Built-in UV filters, adaptive skin sensors, and an innovative UV sterilizer ensure not only effective results but also unmatched hygiene and peace of mind. These features reflect Ulike’s commitment to making high-performance technology accessible, without compromising on safety or ease of use.

As we approach the festive season, Ulike’s holiday offerings provide a perfect opportunity to explore this technology firsthand. Their biggest sale of the year, running until December 31, includes up to 25% off sitewide, with special bundles for both the Air 3 Deluxe and Air 10. With advancements like these, could at-home IPL devices become the future of hair removal?

Join the conversation and share your thoughts. How do you see technology like this shaping the future of beauty and personal care? Let’s discuss the intersection of innovation and everyday convenience!

How can AI revolutionize energy management in our homes while helping us save money and reduce environmental impact? In this episode, I speak with Michael Lotfy, EVP of Home & Distribution at Schneider Electric, to uncover how innovation is transforming the way we interact with and consume energy at home.

With buildings responsible for 37% of global CO2 emissions and homes contributing nearly 20% of that total, the need for smarter, more efficient energy solutions has never been more urgent. Michael shares how Schneider Electric is addressing this challenge with groundbreaking AI-powered features in their Wiser Home app. This technology leverages real-time weather forecasts, tariff data, and solar production capabilities to optimize energy use, reduce waste, and save homeowners hundreds of euros annually—all while keeping homes comfortable and secure.

We discuss how governments worldwide are stepping up with incentives to encourage energy-efficient technologies, including the U.S. Department of Energy's $8.4 million initiative for grid-enhancing AI innovations and subsidies offered across Europe. Michael explains how these programs are accelerating adoption and making ROI cycles more attractive for consumers.

Looking ahead, Michael paints a vision of the future where homes autonomously manage energy based on patterns, utility prices, and weather conditions. From creating virtual power plants to enabling community energy sharing, he reveals the exciting opportunities on the horizon. But with innovation comes challenges—Michael also addresses critical concerns like cybersecurity, data privacy, and the importance of combining hardware, software, and AI to create seamless, user-friendly energy solutions.

What role will AI play in shaping the future of home energy management? Can it truly alleviate the stress of rising utility costs? Join us as we explore the intersection of technology and sustainability—and let us know your thoughts on this transformative topic!

How is the role of the CFO transforming in today’s digital age, and how can AI and automation empower financial leaders to navigate this evolution? In this episode, I speak with Bob Stark, Global Head of Market Strategy at Kyriba, to explore how CFOs are becoming strategic business partners, leveraging cutting-edge technology to enhance decision-making, optimize liquidity, and safeguard their organizations against financial risks.

Bob provides an in-depth look at how AI is reshaping the finance landscape, moving beyond efficiency to drive smarter, data-driven decisions. He highlights key areas where AI and machine learning are making an impact, such as improving cash forecasting accuracy, automating workflows, and enhancing fraud detection. As fraud threats grow increasingly sophisticated, Bob explains how AI's anomaly detection and policy enforcement at machine speed are critical for protecting financial operations.

We also dive into the challenges CFOs face when adopting AI, from building trust in AI systems to balancing automation with human oversight. Bob shares why embedded, turnkey AI solutions are gaining traction and how CFOs can ensure their AI initiatives align with broader business goals. Additionally, we discuss the future of liquidity management, where data-driven insights empower CFOs to make more impactful decisions while reducing inefficiencies.

Whether you're a finance professional curious about the potential of AI, or a business leader looking to understand how to integrate these technologies into your operations, this episode offers actionable insights into the evolving role of the CFO and the strategic use of AI in finance.

What do you think are the biggest challenges CFOs face in adopting AI? Let’s continue the conversation—share your thoughts with us!

What does it take for a tech startup to successfully navigate international expansion? In today's episode, I welcome Dr. Shan Nair, a trailblazer in International Expansion Services (IES) and the president of Nucleus, to unpack the strategies and insights essential for businesses venturing into global markets. Dr. Nair's journey from nuclear physics at Oxford to consulting for some of the world’s most recognizable tech names, including Tesla Motors and FaceTime, offers a fascinating perspective on the intersection of innovation and international business.

During our conversation, we delve into the unique challenges that tech companies face when scaling internationally, from navigating complex regulatory frameworks in Asia-Pacific to addressing employment law risks in Europe and Latin America. Dr. Nair also explains how Nucleus provides a one-stop solution for companies, ensuring that international operations are managed seamlessly without the fragmentation of working with multiple service providers across geographies.

As the landscape of global business evolves, Dr. Nair sheds light on what it takes to succeed—emphasizing the importance of experienced CFOs, realistic budgets, and a sustainable business model. We also discuss the emerging trends shaping the future of international business, including the rise of cryptocurrencies, small-scale nuclear power plants, and the shifting dynamics of global manufacturing strategies amidst rising protectionism.

What are the critical steps for a startup looking to establish its first international hire? How can seasoned CFOs mitigate risks while maintaining sustainable growth? And how might the trends we discuss redefine global business in the coming years?

Join us for this insightful episode, and as always, let us know your thoughts. What challenges do you think startups face the most when going global? Let’s keep the conversation going.

What role does design play in shaping the future of STEM innovation? In this episode, I’m joined by Marilee Lloyd, a seasoned architect and Senior Laboratory Planner at HED, one of the most established architecture and engineering firms in the country. With over 38 years of experience in designing cutting-edge laboratory spaces for pharmaceutical giants, biotechnology companies, and top research universities, Marilee shares her expert insights on the evolving world of lab design.

Together, we explore the transformative impact of modern laboratory environments, from fostering collaboration and innovation to addressing the urgent need for inclusivity in STEM. Marilee explains why laboratories are no longer just functional spaces but vibrant hubs that attract and retain top STEM talent.

 She also highlights the critical role design plays in advancing diversity, equity, and inclusion—both culturally and in terms of facilities. From gender-neutral restrooms to considerations for neurodiverse scientists, Marilee provides an eye-opening perspective on how thoughtful design can drive societal change and enrich scientific discovery.

We also delve into the challenges of balancing sustainability with functionality in lab environments, the influence of technology on design practices, and the future trends shaping these spaces, such as AI integration and immersive visualization tools.

Could better-designed labs be the key to unlocking the next wave of innovation in STEM? Tune in to learn how Marilee and HED are redefining what it means to create spaces where science, people, and ideas thrive. What do you think is the most important element of a modern lab? Share your thoughts with us!

In this episode of the Tech Talks Daily Podcast, I explore the dramatic transformation reshaping search and digital discovery with Michael Walrath, Chairman and CEO of Yext. As AI tools like ChatGPT, TikTok, and Meta AI disrupt the traditional search model, businesses are grappling with the need to adapt their strategies or risk being left behind. With decades of reliance on Google’s algorithms, the rise of more conversational, AI-driven platforms signals a seismic shift in how consumers discover information.

Michael brings a wealth of experience to the conversation, reflecting on his time leading Yahoo’s search advertising marketplace and the lessons learned when traditional models were challenged by new technologies. We discuss how search is not merely evolving but being redefined by AI, as fragmented platforms create both opportunities and challenges for businesses navigating this new digital environment.

The episode dives into why structured data and content distribution are now critical for discoverability across emerging platforms and what businesses can do to optimize their presence beyond Google’s ecosystem. Michael provides actionable advice on how organizations can build strategies for this new era of search, focusing on agility and preparation for ongoing shifts in consumer behavior.

We also touch on the broader implications for businesses, including the potential to reduce reliance on paid search and pivot towards organic growth through newer channels. Michael outlines what a post-Google world could look like and how businesses can position themselves for success in this fragmented and increasingly competitive space.

How prepared is your business for the AI-driven search revolution? Join the conversation and share your insights after tuning in!

How can advanced technology and AI help mission-critical workforces not only keep up with evolving demands but thrive?

From public safety and utilities to agriculture and construction, the essential industries that power our communities are increasingly relying on technology to overcome staffing shortages, streamline workflows, and improve service quality.

With nearly 91% of first responders believing their reporting processes could be better and 70% requiring overtime to finish paperwork, it’s clear there’s an urgent need for tools that make a real difference.

In this episode, I’m joined by Dominick Passanante, Vice President of Mobility at Panasonic Connect North America, to explore the transformative role of technology and AI in these industries. Dominick shares how Panasonic Connect’s AI-driven solutions, including rugged Toughbook devices and predictive analytics tools, are helping to automate routine tasks, enhance decision-making, and boost operational efficiency.

We’ll hear real-world examples, like how AI is enabling better wildfire response, improving law enforcement decision-making with video analysis, and optimizing utility maintenance through advanced sensor technology.

But with all this innovation comes questions: How does AI integration differ across industries? What misconceptions about AI’s role in the workforce still persist? And how can organizations use advanced tech to meet the expectations of today’s tech-savvy workers while keeping operations safe, responsive, and effective?

As you listen, consider this: Are essential industries equipped with the tools they need to meet the challenges of today and tomorrow? And what role should AI play in ensuring that mission-critical workforces can serve their communities better?

In this episode of Tech Talks Daily, we explore groundbreaking research from the BCG Henderson Institute, revealing the profound impact of Generative AI on data science tasks within the consulting sector.

I am joined by Vladimir "Vlad" Lukic from Boston Consulting Group (BCG), who shares insights from a recent collaborative study with Boston University and OpenAI's Economic Impacts team.

The experiment tested the efficacy of GenAI tools, including Enterprise ChatGPT with GPT-4 and Advanced Data Analysis, in enhancing the productivity and technical capabilities of BCG consultants versus traditional methods.

Vlad details the experimental setup where consultants undertook typical data science tasks such as writing Python code for cleaning datasets, constructing predictive models, and validating statistical analyses generated by ChatGPT. The performance metrics of 480 consultants were then measured against 44 seasoned BCG data scientists who completed the tasks without GenAI assistance.

Key findings underscored by Vlad reveal that GenAI not only elevates performance but also equips personnel with sophisticated technical skills, albeit tied to the use of the tool itself. Remarkably, consultants with no prior coding experience were able to execute advanced tasks, achieving 86% of the benchmark established by data scientists and completing these tasks with a 10% faster average time.

I also learn how BCG is harnessing GenAI to foster productivity and broaden skill sets internally. Vlad explores the broader implications of GenAI in revolutionizing the consulting and professional services industries, driving significant value for clients through AI integration.

Key takeaways from this session include the transformative role of GenAI as an 'exoskeleton' that offers instant skill augmentation, the necessity of balancing this with sustainable skill development, and the critical insights into effective GenAI integration within professional workflows.

Join us as we explore these dynamic changes, offering both a comprehensive overview of the practical applications of GenAI and a visionary outlook on its evolving role in the professional world.

In this episode of Tech Talks Daily, we dive into the heart of modern policing with Matt Polega, co-founder and president of Mark43. A recent survey by Mark43 revealed a striking demand among UK residents for greater police presence. But how can technology bridge the gap between public expectations and police resources?

Matt joins us to discuss how modernized, resilient technology like Mark43's can enable police forces to increase their street presence without necessarily adding more personnel. We'll explore how real-time data sharing between neighboring police forces and partner agencies is becoming a game-changer in crime prevention and response.

Matt also sheds light on the critical advantages of systems that update in real-time, allowing officers to respond faster and more effectively to incidents as they unfold.

We also discuss the importance of having robust backup emergency dispatch systems to maintain operations during outages, ensuring that police forces are always ready and resilient in the face of emergencies.

Our conversation will also touch on the broader implications of technology in policing—how it transforms not just operational efficiency but also public perception of police forces. Trust, safety, and responsiveness are at the forefront of this transformation, potentially reshaping community interactions with law enforcement.

Finally, we'll tackle some tough questions about the adoption of modern systems within UK police forces. What are the challenges they face, particularly regarding costs, complexity, and the perception that public sectors lag behind the private sector in technological adoption.

Loking forward, what does the future hold for policing in the UK, especially with the integration of AI, real-time data analytics, and cloud-based systems? Join us as we explore these critical issues and envision the future of policing—a future where technology empowers law enforcement to better serve and protect communities while enhancing public safety and trust.

How do you think emerging technologies will shape the future of community policing? Share your views and join the discussion.

In this episode, I’m joined by Jesmar Cannaò COO of ProxySQL, to explore the  journey behind the creation of this open source solution that has become a game-changer for database management. 

From his early days in IT to addressing the challenges that database administrators (DBAs) face daily, Jesmar shares the story of how ProxySQL evolved from a side project into a vital tool for empowering database teams around the world.

We discuss the complexities of managing MySQL and PostgreSQL infrastructures, ProxySQL’s unique approach to query routing, load balancing, and its ability to maintain high availability even in the most demanding environments. Jesmar explains why ProxySQL’s open-source model is critical in fostering trust and transparency, and how it helps organizations adapt to the growing demands for cloud-native and on-premise database solutions.

Jesmar also offers insights into the challenges of running a distributed team, the evolution of database management in an era of increasing automation, and the emerging trends shaping the future of this space. Whether you’re a seasoned DBA, a tech leader, or simply curious about the transformative power of open source solutions, this episode is packed with valuable takeaways.

In today’s data-driven world, businesses rely heavily on tools like Tableau and Power BI to make sense of their data. But why do these tools, designed to make analytics simple, often involve such complex and resource-intensive backends? This tension, known as the BI paradox, is what Nicolas Korchia, CEO of IndeXima, is on a mission to resolve.

In this episode, Nicolas shares his journey from data geek to entrepreneur, tackling one of the biggest challenges in business intelligence: the balance between user-friendly dashboards and the intricate data pipelines that power them. We explore how IndeXima leverages AI and machine learning to create dynamic tables, accelerating data analytics, improving dashboard performance, and reducing the cost and environmental impact of data queries. Nicolas explains how his team’s solutions are empowering businesses to streamline decision-making while addressing sustainability—a key concern in today’s IT landscape.

Beyond the technology, Nicolas provides real-world use cases, including how IndeXima transforms retail analytics by optimizing Snowflake queries to deliver near-instantaneous results. We also dive into the future of business intelligence, discussing emerging trends such as the role of large language models (LLMs) in generating SQL queries and how automation is shaping the way businesses handle data.

If your organization is struggling with slow dashboards, skyrocketing query costs, or inefficiencies in BI processes, this conversation will spark ideas and provide insights into optimizing your data strategies. Could the solution to your BI challenges be simpler than you think?

Tune in to find out—and let us know your thoughts on the BI paradox and where you see data analytics heading in the near future.

Have you ever wondered how businesses can better manage supply chain risks in an era of increasing cyber threats and regulatory complexities? In this episode of The Tech Talks Daily Podcast, we sit down with Haydn Brooks, CEO and founder of Risk Ledger, to explore how his innovative platform is reshaping third-party risk management.

Risk Ledger, founded in 2018, operates as a secure social network for supply chain risk management. Haydn shares how his transition from neuroscience to cybersecurity sparked the creation of this dynamic platform, which has already supported major initiatives like the NHS COVID-19 Test and Trace program. Designed to provide real-time insights and foster collaboration, Risk Ledger is redefining traditional approaches to supply chain security.

In our conversation, Haydn discusses the platform’s ability to share threat intelligence across a network of suppliers, helping both public and private sector organizations stay ahead of emerging challenges. He also delves into the critical role of AI in supply chain management—both as a risk and a tool—highlighting how Risk Ledger ensures AI governance and assists suppliers in navigating complex security requirements.

Looking ahead, Haydn outlines Risk Ledger’s ambitious plans for 2025, including enhanced threat response capabilities and international expansion into Northern Europe and the US. With the rise of new regulatory frameworks like DORA and NIS2, Haydn emphasizes how the platform supports compliance while addressing the unique needs of diverse industries.

Join us as we unpack the future of supply chain risk management with Haydn Brooks and explore how Risk Ledger is empowering organizations to tackle threats and seize opportunities in an increasingly interconnected world. What strategies do you think are essential for managing supply chain risks in your industry? Let us know your thoughts after the episode!

Have you ever wondered how businesses are transitioning from isolated AI experiments to integrated strategies that truly drive transformation? In this episode, we’re joined by Dr. Pandurang Kamat, Chief Technology Officer at Persistent Systems, to explore this fascinating evolution.

With over 12 years at Persistent and a PhD in Computer Science from Rutgers University, Dr. Kamat brings a wealth of knowledge about innovation, R&D, and the future of AI in the enterprise.

Dr. Kamat explains how the AI revolution is reshaping both the technical and business aspects of organizations. From automating workflows to modernizing data and digital engineering, he dives into how AI platforms are becoming indispensable tools. He also highlights Persistent’s unique approach with its flagship platforms SASVA for digital engineering, iAURA for data engineering, and the GenAI Hub for orchestrating AI across enterprises.

 These platforms are enabling businesses to adopt AI faster and more effectively, paving the way for what he calls "services as software."

We also discuss the role of partnerships with hyperscalers like AWS and Google in scaling AI initiatives securely and responsibly. Dr. Kamat shares insights into Persistent’s industry-specific applications of AI, from enhancing customer service to revolutionizing construction risk management and accelerating drug research.

What challenges do businesses face when transitioning to platform-driven strategies? Dr. Kamat unpacks the critical steps, including shaping data readiness, identifying impactful use cases, and implementing responsible AI frameworks. Looking ahead, he envisions a future where AI delivers disproportionate outcomes through purpose-built agents and multi-year transformation projects.

Join us as we navigate the next wave of enterprise AI with Dr. Pandurang Kamat and uncover how Persistent Systems is pushing the boundaries of innovation. What excites you most about the potential of AI to transform industries? Share your thoughts after the episode—we’d love to hear from you!

Is low-code development the future of digital transformation? In this episode of Tech Talks Daily, I sit down with Hans de Visser, Chief Product Officer at Mendix, to explore how low-code is reshaping the enterprise software space. With 73% of C-suite executives now viewing low-code as the only viable coding option, Hans shares insights into why this technology is no longer a departmental fix but a strategic enabler driving innovation at scale.

Hans delves into Mendix’s integration of generative AI, which is revolutionizing the software development lifecycle. From AI-assisted data modeling to AI-powered applications, he explains how the fusion of AI and low-code creates a productivity leap that enables enterprises to innovate faster and more efficiently. But innovation doesn’t come without challenges. Governance, security, and upskilling remain critical to unlocking the potential of low-code while mitigating risks.

The conversation also touches on the increasing collaboration between IT and business teams, as organizations adopt fusion team models to harness the full spectrum of talent. Hans offers practical advice on addressing knowledge gaps, building cross-functional teams, and creating sustainable digital transformation strategies.

We’ll also discuss Mendix’s latest research findings, which highlight the growing influence of non-technical C-suite executives in low-code adoption and the importance of regulatory compliance frameworks in reducing risks. With AI and low-code seen as key drivers of future enterprise growth, this discussion provides a compelling look at how technology can transform business processes from the ground up.

What are your thoughts on low-code and its role in shaping the future of digital transformation? Could this be the game-changer your business needs? Tune in and let us know what you think!

What makes the UK a prime candidate to lead the charge in global crypto adoption? In this episode, I speak with Bivu Das, UK General Manager of Kraken, one of the world’s most established crypto platforms, to explore how the UK’s deep roots in fintech and financial services are laying the groundwork for a blockchain-powered future.

With Kraken serving as the largest FCA-registered crypto exchange in the UK and boasting a robust team of 300 professionals across the region, Bivu shares his insights on the country’s unique position in the crypto revolution. We discuss the evolving regulatory framework, the potential for blockchain to add £57 billion to the UK’s GDP by 2030, and the importance of eliminating bad actors to foster trust and innovation in the market.

Bivu also highlights Kraken’s strategic partnerships with iconic brands like Tottenham Hotspur and Williams Racing F1, emphasizing how these collaborations go beyond logo placements to actively engage and educate mainstream audiences about crypto and Web3 technologies.

As institutional adoption of Bitcoin surges and UK crypto ownership exceeds 7 million, Bivu provides a compelling perspective on bridging traditional finance with the digital asset economy. 

In this episode, I explore the findings of Akamai’s latest State of the Internet report, “Navigating the Rising Tide: Attack Trends in Financial Services,” with Richard Meeus, Director of Security Technology and Strategy EMEA at Akamai. The conversation reveals why financial services remain the top target for cyberattacks, with incidents ranging from DDoS events to brand impersonation schemes that exploit sensitive data.

Richard offers insights into the unique challenges faced by the financial services sector, especially in the context of rising geopolitical tensions. We discuss a recent DDoS attack in the Middle East that underscores the intensity and sophistication of threats in this space. The episode also examines the growing threat of shadow APIs, which often go unmonitored, leaving organizations exposed to data exfiltration and other vulnerabilities.

The conversation shifts to actionable strategies, including the implementation of Zero Trust frameworks, proactive DDoS defenses, and the importance of balancing automated tools with human oversight for complex, multi-vector attacks. Richard highlights the evolving landscape of cybersecurity regulations, such as the EU’s Digital Operational Resilience Act, and what organizations need to do to stay ahead.

If you’re curious about how businesses can better defend against these emerging threats and what it takes to build resilience in a rapidly changing digital environment, this episode offers a wealth of practical advice and industry expertise. What are the most pressing cybersecurity challenges your organization is facing? Tune in to explore solutions and strategies.

In this episode recorded live at the IT Press Tour in Malta, I sit down with François Machacek, an IT veteran with nearly three decades of experience and a deep commitment to sustainable technology. 

François shares his journey, starting from his early career managing data centers across Europe to becoming an ambassador for green IT and joining EasyVirt, a company revolutionizing how we measure and reduce the environmental impact of digital technology.

We discuss the often-overlooked environmental costs of digital infrastructure, including the growing carbon and water footprints of data centers and AI technologies. François explains how EasyVirt's suite of tools provides actionable insights to optimize IT performance, reduce costs, and minimize environmental impact. He highlights the importance of real-time, granular measurements and how these solutions help organizations achieve their sustainability goals while remaining secure and compliant with tightening regulations.

François also sheds light on integrating GreenOps and FinOps principles, enabling IT teams to balance financial efficiency with environmental responsibility. Whether it’s helping businesses optimize hybrid cloud infrastructures, manage carbon emissions, or prepare for future regulations, EasyVirt is empowering organizations to tackle some of the most pressing challenges in tech today.

Join us as we explore the intersection of IT innovation and sustainability and discover how actionable data can pave the way for a greener digital future. 

Could sustainable IT be the missing link in your organization’s ESG strategy? Tune in to find out.

What if your organization could unlock the full potential of AI without ever compromising on privacy or sharing sensitive data? In this episode of Tech Talks Daily, I am joined by Alexander Alten, Co-Founder and CEO of Scalytics, to explore how he is building the next-generation infrastructure layer for AI agents.

Alexander brings a wealth of expertise, having led data and product teams at industry giants like Cloudera, Allianz, and Healthgrades. With a background in startups such as X-Warp and Infinite Devices, he has a proven track record of developing customer-centric, data-driven solutions that not only disrupt conventional norms but also fuel measurable growth.

During our conversation at the IT Press Tour in Malta,  Alexander introduces Scalytics Connect, a modern AI data platform designed to accelerate insights while preserving privacy. He unpacks the challenges of breaking down data silos and explains why centralizing data may not always be the optimal solution. We also demystify federated learning, shedding light on its potential to empower businesses, particularly in regulated industries, to collaborate on AI models without exposing their data.

The discussion extends to the value of open-source technologies and why they often emerge as long-term winners, citing examples like MySQL, Postgres, and WordPress. Alexander shares how Scalytics leverages open-source principles to provide scalable and transparent machine learning solutions for businesses looking to outperform in an increasingly data-driven world.

As AI continues to redefine the way we work and innovate, Alexander's insights provide a roadmap for navigating the complexities of decentralized machine learning, privacy-first AI, and scalable technology.

Could his approach to AI and data collaboration be the key to unlocking your organization's potential? Tune in to find out, and don’t forget to share your thoughts on the future of AI-powered innovation.

In this episode of Tech Talks Daily, recorded at the IT Press Tour in Malta, I am joined by Antoine Simkin, co-founder of Digi Film Corporation. 

Antoine Simkine is also the lead producer and managing director of the Paris-based Les Films d’Antoine, which was founded in 2004. He was also the executive producer of the VFX of about one hundred feature films such as “The City of Lost Children”, “Amelie”, “Alien Resurrection” by Jean-Pierre Jeunet, “The Ninth Gate” by Roman Polanski, “Ronin” by John Frankenheimer, “Joan of Arc” by Luc Besson, and “The Man Who Cried” by Sally Potter.

Antoine Simkine has then worked for 20th Century Fox as VFX producer during the final phase of development of “I Robot” by Alex Proyas.

With a unique background in cinema and digital visual effects, Antoine brings a fascinating perspective on the challenges and solutions for long-term data preservation in our rapidly evolving digital age.

Antoine shares his journey from pioneering digital visual effects in the 1980s and 90s to tackling one of the industry's most pressing issues: the longevity of digital data. Reflecting on his experience working with formats like Sony DIR and DTF tapes, he highlights the challenges of data migration, evolving standards, and the risks of losing critical digital assets. His work with Digifilm Corporation introduces an innovative approach to solving these problems by blending the permanence of film with the precision of digital encoding.

We explore how Digifilm's Archifix solution offers a robust alternative to traditional storage methods, ensuring data preservation for decades, if not centuries. Antoine provides insight into the diverse applications of this technology, from the cinematic world to industries such as nuclear power, defense, and architecture, where the need for secure, offline data storage is paramount.

As data volumes grow exponentially and regulations around data integrity and security tighten, Antoine's vision for the future of Digifilm highlights the critical importance of balancing technological advancements with sustainable, long-term preservation strategies. Could this approach be the missing piece in solving the global data storage puzzle?

What role could Digifilm play in securing our digital heritage for future generations? Listen, reflect, and join the conversation.

Learn more at https://digifilm-corp.com/home

What happens when the backbone of modern society—our critical national infrastructure—faces an evolving cyber threat landscape? In this episode, Tony Burton, Managing Director of Cyber Security & Trust at Thales UK, joins the show to explore the growing cybersecurity risks posed to smart grids and essential utilities, backed by insights from Thales' 2024 Data Threat Report.

Tony sheds light on the vulnerabilities introduced by the digitalization of critical infrastructure, explaining how the shift to smart grids and interconnected systems has opened new avenues for cybercriminals. He highlights the startling rise in ransomware attacks, insider threats, and human error as key contributors to data breaches in these high-stakes environments. With over 42% of critical infrastructure organizations reporting a cyber breach and 93% noting an increase in attacks, the stakes couldn’t be higher.

We’ll discuss the real-world implications of these risks, from the potential for widespread blackouts and disruptions to essential services, to the theft of energy resources and compromised public safety. Tony also shares actionable strategies for safeguarding the future of energy supplies, emphasizing the importance of multi-layered defenses, proactive threat detection, and robust incident response plans.

The episode also dives into the cutting-edge work at Thales' Cyber Resilience Lab in Ebbw Vale, where smart grid technology is stress-tested against a variety of cyber scenarios—all in a controlled offline environment. Tony underscores the critical role of innovation and compliance in building resilience, offering a forward-looking perspective on how the future of UK energy and national security hinges on addressing both present and emerging cyber threats.

What do you think about the growing risks to critical infrastructure in a hyper-connected world? Join the conversation, and share your thoughts on how technology can help safeguard our most essential services.

What does it take to transform a $19.9 billion consulting powerhouse in the age of AI? In this episode of Tech Talks Daily, I’m joined by Mohamad Ali, Senior Vice President of IBM Consulting, to explore how his unique blend of expertise in cybersecurity, data, analytics, and AI is redefining the consulting industry and unlocking new possibilities for businesses worldwide.

Mohamad shares how IBM Consulting is leveraging an open ecosystem approach to help enterprises fully harness the power of AI. We delve into real-world examples of top generative AI use cases that are driving innovation, efficiency, and transformation across industries. From improving decision-making to optimizing workflows, these stories offer valuable insights into AI's practical applications.

Beyond technology, Mohamad emphasizes the human element—discussing strategies for upskilling talent in the AI era and creating access to opportunities for professionals at all levels. He highlights the importance of empowering teams to embrace AI, not as a replacement, but as a tool to amplify their capabilities and drive meaningful impact.

With a software-first mindset cultivated from his tenure as CEO of IDG and Carbonite, Mohamad explains how he’s reshaping IBM Consulting to be more agile, innovative, and responsive to the evolving needs of clients in a digital-first world.

How can businesses build an AI strategy that drives real results? What role does upskilling play in creating a future-ready workforce? Tune in to this conversation with Mohamad Ali, and discover how IBM Consulting is leading the charge in transforming challenges into opportunities with AI.

Want to learn more? Connect with IBM Consulting online to explore the ideas and innovations discussed in this episode.

What does it truly mean to "never trust, always verify"? In this episode of Tech Talks Daily, I’m joined by John Kindervag, Chief Evangelist at Illumio and the pioneer of the Zero Trust approach to cybersecurity. With cyber threats evolving at an unprecedented rate, John argues that Zero Trust is no longer optional for organisations moving to cloud-based environments—it’s a necessity.

John explains why the traditional trust-based approach to cybersecurity is obsolete and shares actionable insights on adopting a Zero Trust strategy. He highlights the critical steps in implementing Zero Trust, emphasizing the importance of starting small with Protect Surfaces and flow maps to create manageable, effective security policies. Through real-world examples, he demonstrates how organisations have reduced their attack surfaces by up to 90% by embracing this model.

We also explore common pitfalls, such as attempting to implement Zero Trust all at once, and how incremental changes can set the stage for long-term success. John sheds light on how Zero Trust dramatically enhances an organisation's resilience against cyberattacks, providing continuous monitoring and automated policies to safeguard critical assets in an increasingly cloud-driven world.

How can organisations move beyond outdated approaches to cybersecurity and embrace the transformative power of Zero Trust? Are you ready to take the first steps toward securing your digital future? Tune in to this essential conversation with John Kindervag, and let us know your thoughts!

Have you ever wondered why Reddit has become the go-to platform for authentic conversations, community-driven insights, and even purchasing advice? In this episode, we sit down with Jen Wong, COO of Reddit, to explore the platform’s remarkable evolution and its growing role in the digital world. With 97M daily active uniques—a staggering 47% growth from last year—Reddit is shaping the way people discover information, make decisions, and connect with communities around shared interests.

Jen shares how Reddit’s unique positioning, as a platform rooted in anonymity and interest-based communities rather than follower counts, allows it to stand apart from its peers. She highlights how Reddit’s users “age into” the platform, deepening their engagement over time, and how this creates unparalleled opportunities for authentic conversations and valuable user insights. Whether you’re looking for advice on concert tickets or in-depth discussions about hobbies, Reddit offers the kind of information and perspectives you simply can’t find elsewhere.

The conversation delves into Reddit’s AI and machine learning initiatives, such as improving search functionality, enabling machine translation, and leveraging data to create better user experiences. Jen also discusses how these advancements help people find their “home” on Reddit, making it easier for anyone, regardless of their background or interests, to engage meaningfully on the platform.

We also examine Reddit’s innovative ad platform, designed to support brands with unique formats and targeting capabilities, while emphasizing brand safety and community-first values. Jen explains how Reddit’s focus on conversational commerce is transforming the consumer journey, enabling two-way dialogues between users and businesses that inform and validate purchasing decisions in real time.

What does the future hold for a platform that continues to evolve and innovate at this pace? Tune in to discover how Reddit is leveraging its unique community dynamics to shape the next generation of digital interaction and commerce. As always, we’d love to hear your thoughts—how do you see Reddit influencing your online experiences? Let us know!

Can water become an investable asset? How is decentralized water treatment reshaping the way industries and communities manage their most vital resource? In this episode of Tech Talks Daily, I sit down with Riggs Eckelberry, CEO of Water on Demand, to explore the groundbreaking technology and financial innovation behind this transformative company.

Riggs shares how Water on Demand is revolutionizing the water industry by decentralizing treatment systems. Instead of relying on overburdened municipal systems, industries can now treat and recycle water on-site, reducing costs, achieving regulatory independence, and advancing sustainability efforts. At the heart of this innovation are modular, prefabricated systems that can be operational in just one day, representing a shift toward adaptable, climate-resilient infrastructure.

We also dive into the financial technology underpinning Water on Demand. Riggs explains how businesses can adopt water treatment systems without upfront capital investment, thanks to a pay-per-gallon model that removes financial barriers. For investors, this model opens opportunities for equity and generational royalties, with future plans to tokenize water assets ($H2O), creating a more liquid and tradable market.

Beyond technology and finance, we discuss the social impact of decentralized water solutions. By alleviating industrial demands on municipal systems, residential users benefit from improved access and lower water rates, with significant implications for low-income communities. Riggs highlights how scaling industrial water recycling to just 15% could effectively double the world's freshwater supply, offering a path toward social equity and climate resilience.

How can technology and finance transform water into a sustainable, investable resource? What role will decentralized systems play in addressing the challenges of climate change? Tune in to this insightful conversation with Riggs Eckelberry and join the discussion by sharing your thoughts!

What role does language play in shaping our world? How is AI transforming the way we connect across cultures? In this episode of Tech Talks Daily, I am joined by Olga Beregovaya, VP of AI and Machine Translation at Smartling, whose journey from a single mother at 21 to a trailblazer in language technology and AI is as compelling as it is inspiring.

With over 25 years of experience in natural language processing (NLP), machine learning, and AI-driven transformation, Olga brings invaluable insights into the evolution of machine translation and the groundbreaking innovations shaping the localization industry.

We discuss Olga's remarkable career trajectory, from her academic roots in structural linguistics to leading AI initiatives at Smartling. Learn how Smartling is leveraging its trademarked "Language AI" to revolutionize translation processes, enabling businesses to communicate globally with greater accuracy and cultural sensitivity. Olga shares her thoughts on the measured deployment of AI, addressing challenges like hallucinations in AI outputs, improving model accuracy, and redefining workflows for the modern workplace.

The conversation also explores the broader trends in language technology, such as task-specific language models, unsupervised learning, and multi-modal advancements that integrate text, imagery, and even digital humans. Olga underscores the importance of data governance and the collaborative role linguists play in prompt engineering to ensure AI systems reflect diverse perspectives and maintain cultural authenticity.

As a passionate advocate for women in STEM, Olga reflects on the progress and challenges facing women in technology, offering actionable insights for fostering diversity, mentorship, and representation in the industry. Her dedication to amplifying underrepresented voices in tech serves as a powerful call to action for listeners to build a more inclusive future.

How can AI continue to bridge language and culture without losing the nuances that make us human? What role do you see yourself playing in this evolving narrative? Tune in to hear Olga's thoughts, and join the conversation by sharing your insights!

What makes Solana an ideal foundation for decentralized finance, particularly in derivatives and perpetual trading? In this episode, I explore these questions with Tristan from Zeta Markets. With $15 billion in trading volume and a growing user base exceeding 50,000, Zeta Markets has become a cornerstone of the Solana DeFi ecosystem. Together, we discuss how Solana’s high throughput, low fees, and lightning-fast block times enable Zeta Markets to deliver a seamless trading experience through their central limit order book model.

Tristan also sheds light on Zeta’s ambitious growth trajectory, including the launch of SatorX, their new Layer 2 solution designed to address network congestion while offering unmatched speed and scalability. With features like near-instant transaction finality, gas fee abstraction, and the capacity to support hundreds of markets, SatorX is poised to redefine the user experience on Solana. We’ll also unpack how their upcoming Token Generation Event (TGE) could shape Zeta’s governance model and fuel community-driven innovation.

A key focus of our conversation is the evolving landscape of market strategy. Tristan explains how Zeta leverages community feedback to prioritize listings of Solana-native assets while expanding their scope to hundreds of markets through their advanced infrastructure. Additionally, we discuss how Zeta is tackling the challenge of Maximal Extractable Value (MEV) through an innovative sequencing scheme on SatorX, creating tighter spreads and better prices by empowering market makers.

Looking ahead, Zeta is gearing up for the December 2024 testnet launch of their upgraded exchange and a mainnet release in early 2025. Tristan teases some of the exciting improvements, including order books capable of updating over 10 times per second, setting the stage for unparalleled performance in DeFi trading.

What does the future hold for DeFi derivatives on Solana, and how will Zeta’s innovations impact the broader ecosystem? Tune in to discover how Zeta Markets is positioning itself as a leader in this rapidly evolving space. After listening, I’d love to hear your thoughts—what excites you most about Solana’s potential, and where do you see DeFi heading next?

Have you ever wondered how we can address the ethical challenges of AI while empowering the next generation of innovators? In today’s episode, I’m joined by Dr. Tara Chklovski, the visionary aerospace engineer turned educator and the founder and CEO of Technovation—the world’s largest tech entrepreneurship program for girls.

Tara has spent the last 15 years redefining what it means to create meaningful impact through technology education, with over 150,000 girls trained as tech entrepreneurs and innovators across 120 countries. Together, they’ve developed more than 12,000 apps and AI-based solutions tackling real-world problems.

Our conversation delves into the inspiration behind Technovation, including Tara’s journey from aerospace engineering to founding a nonprofit dedicated to leveling the playing field in tech education. We discuss the role of the AI Forward Alliance, a global initiative led by Technovation in partnership with organizations like UNICEF and Google, aimed at equipping 25 million young women with the skills needed to thrive in a world increasingly shaped by AI.

Tara also shares powerful stories of transformation, from a young girl in India who overcame cultural barriers to become a Google software engineer, to communities in Kenya where girls are developing tech solutions to combat water scarcity and address critical social issues. These examples underscore the importance of diversity in technology and the role women can play in creating ethical and equitable AI systems.

We explore how Technovation’s curriculum incorporates responsible AI development and empathy-driven innovation, preparing a new generation to navigate the complexities of AI ethics. Tara also discusses the economic and societal benefits of closing the gender gap in technology, emphasizing how investing in young women can yield exponential returns for communities worldwide.

What does the future hold for Technovation and the movement to empower women in AI? How can we all contribute to fostering a more inclusive and ethical tech industry? Tune in to find out, and as always, we’d love to hear your thoughts—how do you see diversity shaping the future of AI and technology? Let us know!

What role does observability play in transforming IT operations? In this episode, I explore this critical question with Gab Menachem, Vice President of Product, IT Operations Management at ServiceNow. With more than two decades of experience in technology innovation and leadership, Gab brings unique insights into how organizations can rethink their IT strategies to tackle modern challenges.

Our conversation begins with clearing up common misconceptions about observability—it's not just about monitoring or accumulating tools, but about understanding the "why" behind IT issues. Gab explains why integrating AI and automation into observability strategies is essential for reducing alert fatigue and improving decision-making. He also sheds light on the power of unifying data sources to create a "single pane of glass," offering IT teams enhanced operational visibility and enabling faster, more informed decisions.

As we dive deeper, Gab shares real-world examples of how ServiceNow is helping organizations overcome IT complexities, such as application sprawl and disconnected tools. From leveraging AI for root cause analysis to automating compliance and risk management, the conversation highlights practical strategies that deliver tangible business outcomes.

We also look ahead at the trends shaping the future of IT operations. Generative AI, tighter integration of observability with action, and AI-driven compliance automation are just a few of the exciting developments Gab predicts will accelerate enterprise innovation.

So, how can IT leaders align with business stakeholders to make these transformations successful? Gab emphasizes the importance of articulating observability’s benefits in business terms, such as reduced downtime, enhanced customer satisfaction, and measurable cost savings.

As the IT landscape evolves, are you ready to embrace the future of observability and AIOps? Tune in to learn how to optimize your existing tools, prioritize change management, and foster collaboration across your organization.

Have you ever wondered what it takes to transform data management into a fearless, innovative journey that empowers businesses to thrive in a data-driven world? In this episode, I’m joined by Alberto Pan Executive VP & CTO at Denodo, a global leader in logical data management and integration.

Alberto takes us through Denodo's remarkable growth story and its groundbreaking innovations, including the Denodo 9 Platform and its recent advancements in Generative AI.

As businesses grapple with the complexities of Generative AI, Denodo is stepping up with pioneering solutions. Alberto discusses how their collaborations with Google Cloud Vertex AI, Amazon Bedrock, Nvidia, and OpenAI are revolutionizing enterprise AI initiatives. 

Through Retrieval Augmented Generation (RAG), Denodo is enhancing AI applications by connecting large language models with up-to-date corporate data, addressing challenges like security, privacy, and query accuracy. These advancements not only enable the creation of intelligent virtual assistants but also significantly improve enterprise AI’s ability to meet real-world business needs.

Alberto also shares the unique features that set Denodo apart, emphasizing the value of its logical data platform for delivering data at the speed of business. From real-time unified data access to a semantic layer that ensures accuracy and governance, Denodo’s innovations are driving efficiency and ROI for organizations across industries.

We’ll also explore future trends in enterprise AI, from the importance of solid data foundations to the increasing convergence of structured and unstructured data. With insights into Denodo’s partnerships and tools like the Denodo AI SDK, this episode is packed with actionable takeaways for anyone navigating the rapidly evolving data landscape.

How do you see Generative AI shaping the future of data management? Tune in to the discussion, and let us know your thoughts!

Have you ever wondered how cutting-edge technologies are reshaping traditional industries? In this episode, we welcome Marc Jeschonneck, EY's Global Assurance Digital Leader, and Paul Goodhew, EY's Global Assurance Innovation and Emerging Technology Leader. Together, they provide a fascinating glimpse into how auditing—a field with over a century of history—is evolving in the age of AI, blockchain, and cloud computing.

We explore the challenges auditors face in an era of increasing regulatory complexity and massive datasets. Marc and Paul reveal how EY's $1 billion investment in assurance technology is empowering auditors to deliver higher-quality insights with unprecedented efficiency. From leveraging AI for document intelligence and anomaly detection to employing blockchain analyzers for digital asset verification, the duo illustrates how innovation is driving productivity and precision in the profession.

However,  it’s not all about the technology. Marc and Paul emphasize the importance of fostering a culture of continuous learning and collaboration to ensure auditors can effectively harness these advancements. They share insights into EY's microlearning initiatives, federated development approach, and the role of intuitive design in creating seamless user experiences.

We also discuss the future of the industry, touching on emerging trends such as AI agents, quantum computing, and the potential of smart contracts to redefine auditing standards. Whether you're intrigued by how technology is enhancing client satisfaction or curious about how organizations are navigating the rapid pace of innovation, this episode has something for everyone.

What technologies do you think will have the greatest impact on the audit profession in the coming years? Let us know your thoughts! Tune in to gain a deeper understanding of the intersection between technology and assurance, and share your perspective after the episode.

How do organizations tackle the growing challenge of transformation fatigue, and what does it mean for the future of innovation? In this episode, Alex Adamopoulos, CEO of Emergn, joins the conversation to explore the realities of transformation fatigue, why it persists in global enterprises, and how Emergn’s unique approach is helping organizations break free from dependency on traditional consulting firms.

Alex shares insights from Emergn’s research, revealing that nearly 50% of employees consider leaving their roles due to burnout from repeated organizational changes, and 70% of transformation programs fail to deliver meaningful results. He outlines how transformation fatigue manifests through symptoms like excessive workloads, buzzword-heavy initiatives, and a reliance on outdated methodologies. Alex emphasizes that successful change comes from empowering teams, focusing on incremental improvements, and building a culture where innovation thrives organically.

We also dive into Emergn’s differentiators, contrasting their mission to make clients autonomous with the dependency-focused models of larger consulting firms. Through their VFQ (Value, Flow, Quality) learning program, Emergn helps businesses upskill teams and operationalize innovation in ways that are practical, scalable, and sustainable. Alex critiques the traditional models used by firms like McKinsey and the Big Four, highlighting how Emergn’s focus on flexibility and measurable outcomes offers a more client-centered approach.

The discussion also touches on AI’s transformative potential. With Emergn’s survey predicting AI integration in 98% of products and services by 2028, Alex sheds light on how companies can navigate ethical, legal, and scalability challenges. From predictive maintenance in manufacturing to automated claims in legal industries, AI’s role is poised to reshape sectors far beyond traditional expectations.

What does transformation fatigue mean for your organization, and how can businesses embrace change without losing momentum? Share your thoughts and join the conversation after listening!

How does branded political merchandise shape the way Americans connect with their chosen candidates? In this episode, we’re joined by Rob Mobsby from EverythingBranded, a global hub for high-quality, tangible marketing solutions, to explore the insights from their 2024 Political Merchandise Report. From the enduring appeal of campaign swag to its surprising impact on voter behavior, this conversation dives into the world of branded merch as a powerful communication tool in both politics and marketing.

Rob unpacks fascinating data from the report, including the finding that 36% of Americans have purchased or plan to buy political merch to support their candidate, with a striking 77% proudly wearing it to influence others. We discuss how these items, ranging from t-shirts and hats to bumper stickers and pins, transcend election cycles, with many people holding onto them for years, regardless of the outcome. The report also highlights how Democrats and Republicans embrace merchandise differently, with wearables proving to be the top choice across party lines.

Beyond politics, Rob sheds light on the broader influence of branded merchandise in advertising. With 63% of consumers more likely to engage with a business they see on a friend’s branded item compared to digital ads or social media posts, it’s clear that physical marketing tools remain a cornerstone of effective campaigns. He also delves into the human connection fostered by these tangible items, especially in a post-COVID era where people crave belonging and shared identity.

We also explore EverythingBranded’s commitment to political neutrality, its approach to product customization, and how the company uses AI and data-driven strategies to enhance customer experiences. Whether it’s for businesses or political campaigns, branded merchandise continues to demonstrate its unmatched ability to create long-lasting impressions.

How do you think branded merchandise will evolve in the years ahead? Share your thoughts after listening!

Are businesses overestimating the ROI of AI while underestimating the power of strategic outsourcing? With AI adoption costs soaring to $5 billion globally, companies are grappling with rising budgets and uncertain returns. High-profile cuts at organizations like Intel illustrate the mounting pressures to fund AI initiatives. Meanwhile, a significant shift in business priorities is underway, as "growth at all costs" gives way to a sharper focus on profitability and sustainability.

In this episode, I’m joined by Craig Crisler, CEO of SupportNinja, to explore how outsourcing is evolving from a cost-cutting fallback to a cornerstone strategy for achieving growth in challenging economic times. Craig shares insights into how sustained interest rates, reduced venture capital funding, and slowing growth rates are reshaping talent strategies. He breaks down myths and misconceptions about outsourcing and reveals why it should no longer be viewed as a reactive measure but as a proactive tool for scalability and resilience.

Craig also delves into his leadership philosophy, one that champions empathy-informed decision-making and "value-centric relationships" in the workplace. Drawing from 20+ years in operational excellence, Craig highlights how modern outsourcing partnerships can unlock long-term success for businesses navigating the complexities of today’s economy.

Are businesses ready to embrace outsourcing as a strategic ally in scaling for the future? And how can leaders balance efficiency with meaningful investment in relationships and talent? Join us for this timely conversation, and don’t forget to share your thoughts after the episode!

How is the trifecta of blockchain, machine learning, and AI reshaping the future of financial services? Today, we're joined by Rob Krugman, Chief Digital Officer at Broadridge, to delve into the transformative power of digital technology within the financial sector.

In this episode, we explore Broadridge's latest insights on digital transformation, highlighting the widening gap between digital leaders and those lagging behind. An astounding 75% of firms are confident in their digital strategies, yet only a third are at advanced stages in refining customer experiences, modernization, and data management.

Rob shares that successful digital transformation is not just about technology but also involves a cultural shift within organizations. We discuss the barriers that institutions face, such as the challenge of prioritizing long-term transformation over short-term firefighting, attracting top-tier digital talent, and overcoming the inertia of traditional, internally focused approaches.

Moreover, we'll cover the crucial role of AI in creating more engaging and personalized customer experiences. From AI-assisted form filling in insurance claims to persona-based interactions that aim for real-time personalization, financial services are on the brink of a major overhaul.

Rob will also share insights on the cultural adjustments needed to integrate AI effectively, emphasizing the importance of continuous learning and the development of "superhuman" capabilities through technology.

Looking towards the future, Rob outlines a vision for 2025 and beyond, where blockchain, machine learning, and AI could enable real-time, 24/7 global transactions with enhanced decision-making processes and anomaly detection.

He also provides advice for organizations at the early stages of their digital transformation journey, suggesting a focus on securing a top-down mandate, starting small with experiments, and being prepared to iterate based on feedback and results.

Join us as we uncover how Broadridge is navigating these changes and what other financial institutions can learn from their journey. How are you preparing for the digital transformation in your field? Share your thoughts and join the conversation.

How do businesses navigate the growing security risks in a world where employees work from anywhere, on any device, with apps IT departments might not even know about? In this special episode of Tech Talks Daily, recorded live at Web Summit in Lisbon, I sit down with Jeff Shiner, CEO of 1Password—a $6.8 billion Canadian-based security company trusted by over 100,000 businesses worldwide.

Jeff shares how 1Password is redefining security through its innovative Extended Access Management platform, tackling challenges that have emerged with the rise of hybrid work, shadow IT, and the widespread adoption of SaaS tools. At a time when the “access trust gap” between employers and employees poses significant risks, Jeff outlines how businesses can close this gap by securing every sign-in, device, and app, without compromising productivity.

Our conversation explores the dual role of AI in cybersecurity: both as a potential threat and as a productivity enhancer. Jeff explains how 1Password leverages generative AI to improve customer support and address evolving enterprise needs. We also discuss the future of security, from integrating seamlessly with tools like Azure AD and Slack to meeting the growing demand for user-friendly solutions that employees willingly adopt—creating a win-win for both individuals and organizations.

With a focus on making security intuitive, reducing friction for users, and empowering businesses to thrive in today’s fast-paced digital environment, Jeff provides invaluable insights into how 1Password is shaping the future of enterprise security.

As we delve into these pressing topics, one key question remains: how can companies balance security and productivity in an ever-evolving threat landscape? Let me know your thoughts, and stay tuned for more conversations from Web Summit!

 How is artificial intelligence redefining the boundaries of creativity and copyright law? In this episode of Tech Talks Daily, recorded live at Web Summit in Lisbon, I sit down with Ed Klaris, Managing Partner at Klaris Law and a leading authority on the intersection of technology, media, and intellectual property.

With over 17 years of experience at powerhouse brands like ABC, Disney, and The New Yorker, Ed brings a nuanced perspective to one of the most pressing issues in media and entertainment today: the impact of generative AI on intellectual property rights.

Ed, fresh from a panel discussion titled AI vs. IP, dives into the challenges and opportunities that AI presents to content creators and legal professionals alike. We explore the contentious question of whether AI-generated works can be considered authored—and thus copyrightable—and examine how different global jurisdictions are interpreting human input requirements in the age of AI. From Hollywood's cautious embrace of AI tools to the legal debates surrounding training datasets and fair use, this conversation unpacks the complexities of blending cutting-edge technology with traditional IP frameworks.

We also discuss how businesses can navigate the legal risks of leveraging AI while protecting their proprietary content, the role of blockchain in licensing and rights management, and how companies like Microsoft are addressing concerns around private AI. Ed's insights highlight both the promise and peril of this evolving landscape, offering practical advice for those looking to stay ahead in this rapidly changing field.

As AI reshapes creativity and challenges legal norms, how can we strike a balance between protecting intellectual property and fostering innovation? Join us as we explore these critical questions and more from the show floor at Web Summit. I’d love to hear your thoughts—reach out via email or social media, and let’s continue the conversation!

How can the cybersecurity industry bridge the gap in its staggering 4 million open roles? This episode dives into the critical need for workforce development and how unconventional paths into cybersecurity are reshaping the field.

Joining us is Keatron Evans, VP of Portfolio and Product Strategy at Infosec, a company that has trained professionals at 70% of Fortune 500 organizations. With over 17 years of experience spanning penetration testing, incident response, and information security management, Keatron shares insights on why diverse backgrounds—from non-technical fields like nursing and the military—can enrich cybersecurity teams.

My guest explains how these unique perspectives, coupled with certifications and practical training, can address the skills gap in ways traditional pipelines cannot.

We also explore the growing importance of upskilling in widening talent pools, creating clear career paths, and ensuring inclusivity within the industry. Keatron delves into how organizations can move beyond certifications to focus on demonstrable skills and how AI is accelerating learning while paving the way for emerging roles in cloud security and AI strategy.

The conversation includes practical strategies for workplace leaders and educational institutions to revamp training programs, tap into unexpected talent pools, and prepare for 2025’s cybersecurity trends, including the intersection of cloud, AI, and cybersecurity.

Where do you see the biggest challenges or opportunities in addressing the cybersecurity skills gap? Join the discussion and share your thoughts! To learn more, connect with Keatron Evans and Infosec online for valuable insights into transforming your team’s cybersecurity potential.

In this episode of the Tech Talks Daily Podcast, I’m joined by Elliott Young, EMEA CTO at Dell Technologies, to explore Dell’s ambitious approach to making AI adoption easier and more effective for businesses of all sizes. As AI becomes a key driver of digital transformation, many organizations face barriers around data management, security, and the lack of skilled talent. Dell's AI Factory aims to address these challenges head-on, providing a comprehensive solution to streamline the journey from AI concept to value creation.

Elliott introduces us to Dell’s AI Factory, a scalable infrastructure designed to support a wide range of GPU options, from NVIDIA to Intel and AMD, making it flexible enough to cater to everything from edge devices to cloud-based deployments. By leveraging pre-engineered frameworks and design patterns, the AI Factory helps businesses accelerate their AI projects, reducing the time and complexity of deployment. We dive into real-world use cases, including "Hero AI" solutions like digital humans in emergency rooms and AI-augmented contact centers, demonstrating how AI can transform industries by embedding intelligence into core production systems.

We also tackle the critical issue of data security. Elliott explains why on-premise and hybrid cloud models remain the preferred choice for over 80% of businesses due to their enhanced security and compliance features. He highlights Dell’s commitment to zero-trust principles and secure supply chains, which form the foundation of the AI Factory’s data management capabilities. Additionally, Elliott shares insights into the innovative security strategies required to address the unique data challenges posed by AI technologies.

Sustainability is another key focus for Dell, as Elliott discusses the energy efficiency improvements in the latest generation of Dell PowerEdge servers and the company's efforts to use recycled materials in hardware and packaging. We also explore how GenAI solutions within the AI Factory can help optimize resource usage, replacing outdated, less efficient AI systems.

As the conversation moves to the skills gap in AI, Elliott talks about Dell's approach to bridging this divide. By focusing on business expertise rather than purely technical skills, Dell’s workshops and professional services aim to make AI accessible for a broader range of users. He emphasizes the importance of empowering teams to prioritize AI use cases that align with business objectives.

Finally, we discuss Dell's commitment to an open ecosystem approach, which supports multiple hardware options and software integrations. Elliott explains how multi-tenancy capabilities within the AI Factory enable efficient resource sharing across departments, maximizing GPU utilization and driving business efficiency.

The company is currently preparing for the Dell Technologies Forum on November 26th, where they will showcase the latest capabilities of the AI Factory. This episode offers a sneak peek into the future of AI-driven innovation and how businesses can overcome common hurdles in AI adoption.

Will Dell’s AI Factory pave the way for a more accessible and effective AI landscape? 

This episode was recorded live at Web Summit with Andrew Skrypnyk, CEO and co-founder of Promova, a language learning platform that’s making waves in the EdTech space. With a recent nomination for the 2024 Allstars Awards by GP Bullhound and a spot on Forbes’ 30 Under 30 list, Andrew brings a unique perspective on the evolving landscape of education technology and the future of accessible learning. From his move from Ukraine to San Francisco, where he expanded Promova’s reach, to achieving 15 million downloads and 1.8 million active users, Andrew's journey is nothing short of inspiring.

We discuss the challenges of competing in a saturated market against giants like Duolingo and Babbel, and explore Promova’s path to profitability in just two years. Andrew shares insights on how the platform has evolved from a simple flashcard app to a comprehensive, personalized learning tool designed with inclusivity at its core. We discuss innovative features like Dyslexia Mode, which aims to make language learning accessible to neurodivergent individuals, and the balance of AI and human interaction in creating an effective educational experience.

Andrew also sheds light on Promova's partnership with the Ukrainian government, offering free premium access to all Ukrainians, a commitment to support language learning during times of crisis. As he prepares to speak at Web Summit 2024 on the panel "Teaching for Tomorrow's Jobs Today," Andrew offers a glimpse into the future of EdTech and the growing importance of adapting content for diverse learning needs.

Is the future of education technology rooted in personalization and inclusivity? Can language learning apps blend AI with the human touch to deliver better outcomes? Tune in to find out, and share your thoughts after the episode!

Are we ready to see a true revolution in the offshore wind industry? In this episode of Tech Talks Daily, we’re joined by Joe Tidball, VP and Co-Founder of Beam, a cutting-edge British deep tech company making waves (literally) with its innovative use of AI and autonomy.

As the world leans further into renewable energy, Beam is stepping up with robotic ships and autonomous underwater vehicles designed to service offshore wind farms more efficiently than ever before.

We’ll explore how Beam’s technology is helping to solve the offshore industry’s growing labor challenges and meet ambitious targets set for 2030. Joe shares insights into their recent groundbreaking achievement—the world’s first AI-driven autonomous underwater vehicle deployed to inspect offshore structures. It’s a feat that signals a new era for automation and data-driven decision-making in the energy sector.

In our conversation, we break down the basics of the offshore wind industry for newcomers, dive into the ways technology is transforming this space, and discuss the implications of integrating AI, including both its promise and potential pitfalls. Joe offers a candid look at how Beam navigates these challenges and what the future holds for AI-driven autonomy in wind farm operations.

As Web Summit gathers industry leaders and tech enthusiasts from around the globe, this episode couldn’t be more timely. So, is AI the key to unlocking the full potential of renewable energy, or are we still navigating uncharted waters?

Tune in and find out. And after you listen, don’t forget to share your thoughts—can AI truly redefine our approach to energy sustainability, or is there more work to be done?

In an age dominated by surveillance and data collection, is it truly possible to achieve digital anonymity? On today’s episode, recorded live from Web Summit in Lisbon, I’m joined by two trailblazers who are challenging conventional wisdom around online privacy: Chelsea Manning, well-known whistleblower and privacy advocate, and Harry Halpin, CEO of Nym Technologies.

Together, they reveal why traditional tools like VPNs and encrypted messaging apps might not be enough to protect us in a world where advanced AI can mine metadata to uncover our most private activities.

We explore the current state of digital privacy, dissecting the limitations of existing tools and introducing NymVPN, the world’s first decentralized VPN powered by a noise-generating mixnet.

 With AI’s ability to sift through patterns in data, simple encryption isn’t sufficient anymore. Manning and Halpin delve into the concept of metadata—the often-overlooked data about data—highlighting its importance in AI-driven surveillance and why it poses a significant threat to our privacy.

In this engaging conversation, we break down how NymVPN’s mixnet technology offers a unique approach by obscuring online behavior with noise and mixing up data streams. We also address practical questions: Can this technology be easily adopted by everyday users? How does it stack up against popular tools like Tor? And what role does it play in regions plagued by censorship and heavy surveillance?

Whether you’re a journalist, an activist, or simply concerned about your digital privacy, this episode offers a thought-provoking look at the future of online anonymity. Are we truly entering a new frontier in digital freedom, or is privacy becoming an illusion? Tune in to find out—and decide for yourself if it’s time to rethink the tools you use to stay safe online.

After listening, I’d love to hear your thoughts. Have your views on digital privacy changed after this discussion? Let me know. Until next time, stay informed and vigilant—because privacy is more than a right; it’s a necessity in today’s interconnected world.

In this special episode recorded live at Web Summit 2024, I’m joined by Mahe Bayireddi, the visionary CEO and co-founder of Phenom, a global leader in AI-powered talent experiences. As AI becomes a transformative force across industries, the HR sector is at a pivotal crossroads, and Phenom is leading the charge in redefining the future of talent management. 

With a mission to help a billion people find the right work, Phenom’s innovative solutions are already benefiting companies like DHL, Kuehne+Nagel, and United Airlines, helping them hire faster, develop talent more effectively, and retain employees longer.

In our conversation, Mahe shares his unique insights on navigating the rapidly evolving landscape of AI regulations, including the complexities of the National Privacy Bill and the EU AI Act. We discuss why understanding these regulations is crucial for companies before implementing AI solutions and how ethical considerations play a key role in shaping the future of AI in HR. Mahe dives deep into how Phenom’s award-winning GenAI solutions are driving efficiency, productivity, and employee satisfaction while addressing the challenges of balancing automation with human oversight.

We also explore Mahe’s vision for the future of HR and the role AI will play in creating more personalized, data-driven talent experiences. What does the rise of GenAI mean for HR professionals, and how can organizations adapt to these changes while remaining compliant? Join us for a thought-provoking discussion on the future of AI in HR, the regulatory hurdles ahead, and how companies can embrace this technology responsibly.

Tune in for an insightful conversation that explores the intersection of AI, regulation, and the evolving world of work. What are your thoughts on the balance between innovation and compliance in the age of AI? Share your perspectives, and don’t miss the latest from Web Summit 2024.

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In this episode, I’m joined by Jitesh Ghai, CEO of Hyland, to discuss the pressing yet often overlooked issue: unstructured data and its potential to redefine AI strategies. As enterprises increasingly prioritize AI, unstructured data—like documents, videos, and images—remains a largely untapped resource, despite making up about 80-85% of enterprise data.

We explore why this data holds untold potential and how Hyland aims to unlock this through their newly launched Content Innovation Cloud.

Jitesh shares insights on why organizations should look beyond conventional data lakes and warehouses, shifting focus towards content repositories. This approach enables companies to harness large language models to extract insights and accelerate innovation.

We also discuss Hyland's role as a long-standing leader in enterprise content management, trusted by over 14,000 customers worldwide. With a vision to drive AI-driven transformation, Hyland’s platform goes beyond simple automation to offer a unique mix of content intelligence, process intelligence, and application intelligence.

Jitesh provides a preview of Hyland’s AI strategy, highlighting their rapid development cycle, where new capabilities are delivered in months rather than years. We explore how leveraging customers’ data assets can serve as a powerful tool in developing advanced AI features, while balancing the pace of innovation with real-world practicality.

If you’ve been considering how to effectively integrate AI into your enterprise and harness the power of your existing content, this episode offers a fresh perspective on the opportunities and strategies that can make it possible. Are you ready to rethink your approach to unstructured data and unlock its full potential? Tune in, and let’s see where it takes us.

What do you think? Could unstructured data be the missing piece in your AI strategy? Share your thoughts with us after listening!

In this episode of Tech Talks Daily, I’m joined by Tanvir Khan, Executive Vice President at NTT Data, to explore the cutting-edge technologies shaping the future of business. With a focus on Generative AI, cybersecurity, and the evolution of digital workplaces, Tanvir shares insights from NTT Data’s approach to driving industry innovation and tackling complex challenges. We begin with a deep dive into the world of Generative AI, discussing how this transformative technology is already making waves in industries from finance to healthcare.

Tanvir explains why large-scale experimentation and empowering employees are key strategies for unlocking AI’s potential. We also consider the broader implications of AI, including its ability to enhance—rather than replace—human expertise, particularly in fields like risk management and regulatory compliance.

The conversation shifts to cybersecurity in the AI era, where Tanvir outlines a holistic approach that includes strengthening perimeter defenses, minimizing damage through encryption, and building rapid recovery capabilities. With AI playing a dual role in both enhancing security and posing new threats, he emphasizes the importance of ongoing user training to mitigate human vulnerabilities.

As we navigate the modern digital workplace, Tanvir discusses how the shift to hybrid work has redefined collaboration and productivity. We explore the blend of physical and virtual spaces, the need for proactive tech support, and the role of AI-driven tools in creating seamless experiences for employees. He shares how companies can harness Generative AI to support this hybrid model, driving efficiency while maintaining flexibility.

Finally, we touch on NTT Data’s innovative strategies in financial services, including a recent partnership with Naehas to streamline personalized banking solutions. Tanvir highlights the growing need for integrated, AI-driven approaches in digital banking and how these solutions are transforming customer experiences.

How can businesses effectively integrate AI into their strategies without overestimating its capabilities? What steps should companies take to protect against evolving cybersecurity threats? Tune in to hear Tanvir Khan’s expert insights and share your thoughts on the future of technology and digital transformation.

In today’s episode of Tech Talks Daily, we welcome Julia Fraser, Executive Vice President of the Americas at Sinch, a global leader in Communications Platform as a Service (CPaaS). Julia shares her expertise on the transformative power of RCS (Rich Communication Services), which is poised to become the default messaging standard by 2025.

With enhanced branded capabilities, richer interactive features, and deep analytics, RCS is set to revolutionize how businesses connect with customers. Julia discusses how the upcoming iOS 18 launch is expected to be a game-changer, significantly broadening the reach of RCS and offering new opportunities for businesses to engage users with personalized, verified messaging.

We dive into the business impact of RCS, exploring how it builds trust through brand verification, increases engagement with interactive features, and provides unparalleled metrics for businesses. Julia highlights successful case studies, like a French food retailer that saw a 42% boost in engagement using RCS, and explains why companies should prepare now to integrate this technology into their broader customer engagement strategies.

Beyond technology, we explore Julia’s insights on holiday season trends, including early campaign starts and the rise of MMS as a stepping stone to full RCS adoption. She offers predictions for Black Friday and Cyber Monday, providing valuable tips on maximizing customer interactions through an omnichannel approach.

We also discuss leadership and diversity in tech, where Julia shares her journey as a female leader in a male-dominated industry. She discusses the importance of mentorship, the role of Employee Resource Groups (ERGs), and Sinch’s commitment to building an inclusive workplace. With a focus on fostering a culture of continuous learning and listening, Julia’s leadership philosophy offers valuable advice for aspiring leaders in tech.

How will RCS redefine business messaging, and what strategies should companies adopt to stay ahead of the curve? Tune in to find out, and share your thoughts on the future of customer communication.

What does it mean to be an "everyday influencer" in a world driven by content and social media? On today’s episode of Tech Talks Daily, we’re joined by Sean O’Brien, CTO and co-founder of Mavely.

The company is transforming how creators, big and small, connect with brands and monetize their online presence. While many platforms cater to top-tier influencers, Mavely’s unique approach is empowering the next wave of creators—everyday individuals who are driving engagement with authentic, relatable content.

We explore how Mavely is helping more than 70,000 creators monetize their followings through partnerships with over 1,000 retailers, delivering a full spectrum of earning opportunities beyond the traditional brand campaigns. Sean shares how Mavely’s creator-first philosophy offers tools and features designed to enhance the user experience and maximize revenue, with a strong emphasis on data analytics. He explains how a focus on personalized recommendations and tailored content strategies allows both creators and brands to thrive, optimizing each touchpoint from discovery to conversion.

Sean also dives into the shifting dynamics of social commerce, especially as Gen Z shoppers demand more genuine interactions and multiple engagements before making a purchase. He discusses how Mavely’s recent upgrades, including LinkedIn integration for B2B creators and the "Button" feature for enhanced Instagram engagement, are meeting these expectations.

 Additionally, we examine the platform’s innovative approach to data-driven strategies, providing insights that help creators choose what to promote and when, while brands gain visibility on ROI like never before.

As we navigate the future of influencer marketing, Sean highlights trends shaping the industry, including the rise of "faceless creators," the growing need for seamless, cross-platform integration, and the importance of robust attribution technologies.

 So, how is Mavely empowering real people to become powerful partners for brands, and what lies ahead for the creator economy? Tune in to find out, and don’t forget to share your thoughts on whether you believe everyday influencers could be the key to the future of social commerce.

In this episode of Tech Talks Daily, I speak with Annette Taylor,  an evolutionary psychology researcher with a unique perspective on the relationship between our ancestral roots and modern technology.

Annette, a former IT professional, delves into the heart of what she calls the "Cavedweller's POV" to explore how our Stone Age minds struggle to adapt to the rapid pace of technological advancements. Is our obsession with efficiency at odds with our innate need for creativity and connection, or are we simply adapting ancient survival strategies to a new digital world?

Annette outlines three key stages of human history—tree dwellers, cave dwellers, and modern house dwellers—and discusses how our biological instincts, shaped thousands of years ago, still govern much of our behavior today. We discuss how our brains are wired for face-to-face interactions, making the loss of non-verbal cues in digital communication problematic.

The implications for our relationships, decision-making, and even mental health are profound, with Annette highlighting how our reliance on digital tools may leave us feeling disconnected and less fulfilled.

We also dive into the challenge of integrating AI into our lives. Annette shares her thoughts on the psychological impact of AI taking over tasks that once provided us with a sense of purpose. Drawing from her own research, she suggests that our need for a sense of belonging, honed during our time as small, cooperative groups, is threatened by an increasing reliance on technology. Are we unknowingly trading our innate creativity and connection for the comfort of efficiency?

Annette offers a refreshing take on how self-awareness and understanding our evolutionary psychology can help us navigate the complexities of our tech-saturated world. Instead of merely reacting to technology, she suggests we need to "relearn" our biology to make more informed choices about how we use it. By revisiting our past, can we better understand the present and make smarter decisions for our future?

Join me as we explore whether our ancient instincts are clashing with modern tech or if we can harness these old survival mechanisms in new, more mindful ways. What can our inner cave dweller teach us about thriving in the digital age? And are we ready to embrace a slower, more thoughtful approach to technology use? Tune in to find out, and don’t forget to share your thoughts on this thought-provoking discussion.

In this episode of the Tech Talks Daily Podcast, we are live at VMware Explore in Barcelona, diving into the future of digital innovation in education with Keith Woolley, Chief Digital Information Officer at the University of Bristol. As one of the top 100 universities globally, Bristol is renowned for its cutting-edge research and tech-forward approach. Keith shares how the university harnesses VMware’s solutions to create a boundaryless, digital-first campus that enhances both research and educational experiences.

Keith discusses the complex technology ecosystem at Bristol, from virtualization tools and high-performance computing to a groundbreaking reality emulator used for digital twinning. He also explains the university’s strategic journey with VMware, highlighting how they’ve built a flexible infrastructure that supports diverse research needs while managing costs effectively. Keith’s insights reveal the shift towards on-premises private cloud solutions, driven by AI, data sovereignty, and the evolving demands of modern research institutions.

We explore the challenges and opportunities of integrating advanced AI capabilities, including the recent launch of the UK’s fastest supercomputer at the University of Bristol. Keith offers a behind-the-scenes look at how this state-of-the-art supercomputer is set to transform AI research and applications, paving the way for groundbreaking advancements in fields like biotechnology and sensory technology.

Finally, Keith shares his forward-thinking vision for the university in 2045, touching on the relevance of higher education in an AI-driven world and the importance of embedding AI into the curriculum. He discusses how the university is working with students to address concerns around generative AI, bias, and equity, ensuring that AI is used as a tool for learning rather than a shortcut.

Tune in to hear how the University of Bristol is redefining the digital campus and leading the way in tech-enabled education, research, and innovation. Could the future of education lie in a hybrid cloud approach that bridges the physical and digital worlds? Listen now and join the conversation on what lies ahead for universities and their role in a rapidly evolving tech landscape.

In today’s episode, recorded live from VMware Explore in Barcelona, I sit down with Chris Wolf, Global Head of AI and Advanced Services at VMware Cloud Foundation, Broadcom. Chris offers a front-row view of how VMware is leading the charge in transforming private AI solutions to meet the evolving needs of businesses across industries.

As the conversation unfolds, Chris provides insight into the core principles behind private AI and explains why privacy, security, and control over data are critical for businesses looking to unlock AI’s full potential without compromising compliance.

Chris shares real-world examples of how enterprises—from contact centers to police departments—are leveraging private AI to drive efficiency, improve customer experience, and streamline processes. He emphasizes how VMware’s AI solutions enable organizations to keep sensitive data on-premises, thus avoiding risks like data leakage and unauthorized model training. Through platforms like VMware’s Private Foundation with Nvidia and new support for Intel Gaudi 3 accelerators, organizations can now customize and control their AI infrastructure more effectively than ever before.

We also explore the future of enterprise AI, touching on agentic AI and how sophisticated AI agents are poised to reshape large-scale business operations. Chris provides a compelling look at how private AI can optimize resources and simplify workflows by offering modular, flexible solutions that don’t lock businesses into any single service provider.

Whether you're considering AI adoption or looking for ways to deepen its impact within your organization, this episode delves into VMware’s approach to balancing AI innovation with robust privacy protections. As we look toward 2025, Chris outlines the emerging trends and hybrid AI models set to redefine enterprise strategies.

So, how can your organization harness private AI to stay agile and secure in a rapidly evolving digital landscape? Tune in to discover how VMware is shaping the future of AI in business.

What does the future of beauty look like when powered by cutting-edge technology?

In this episode, we welcome Guive Balooch, the driving force behind L'Oréal’s Beauty Tech division, to explore how advancements in AI, AR, and personalization are reshaping the beauty industry. Over the past 15 years, L'Oréal has transformed how consumers engage with beauty products by pioneering tools like AI-powered skincare recommendations, virtual try-on for makeup, and precision diagnostics, all of which create a highly tailored experience for users. Guive reveals how inclusivity and accessibility are guiding L'Oréal’s tech innovations. One example is HAPTA, a robotic lipstick applicator developed in partnership with Verily, designed specifically for those with limited hand mobility. This dedication to inclusivity extends to ensuring diagnostic tools are effective across all skin tones, rigorously tested in over 15 countries. Sustainability is equally integral to L'Oréal's Beauty Tech mission. Guive shares insights into eco-conscious designs, like the Color Sonic device, which reduces plastic usage by 60%, and collaborations such as Gjosa, a water-saving technology aimed at minimizing water consumption in salons. As we look ahead, Guive discusses exciting possibilities, from biomarker-driven skincare and AI-enabled precision tools to the concept of electronic makeup. L'Oréal’s vision for the future is clear: create technology that not only enhances beauty experiences but also makes them more accessible, sustainable, and personalized. How will tech continue to transform the beauty industry, and what innovations can we expect in the years to come? Tune in to hear Guive’s insights and join the conversation on how technology can redefine beauty for all.

With AI fundamentally reshaping the cloud, what does this mean for the future of security?

 In this episode, Nataraj Nagaratnam, CTO of Cloud Security at IBM, joins us to dive into the evolving dynamics of cloud security in the age of AI. As organizations integrate AI into their cloud environments, the traditional lines of responsibility for security are being redrawn, raising new questions about who safeguards what and how emerging risks are addressed.

Nataraj unpacks how AI-generated code is introducing unique vulnerabilities, with recent studies highlighting that nearly half of organizations are concerned about the security risks posed by AI-driven development.

My guest explains how the complex, multilayered enterprise AI stack—from applications and models to data and infrastructure—requires a nuanced, data-centric approach to security. This approach includes assessing data sensitivity, managing keys, and implementing tailored controls, especially as unstructured data and machine learning models bring fresh security challenges.

The shared responsibility model is also undergoing a transformation, with Nataraj outlining a shift from a simple customer-provider dynamic to one that includes AI model providers and data lineage.

With industries like healthcare and finance running critical systems in the cloud, regulatory frameworks are tightening, and transparency in model development and data lineage is increasingly emphasized.

Nataraj explores how IBM is working to normalize these controls across sectors, enabling compliance and resilience in a diverse range of cloud environments.

Automation emerges as a cornerstone of Nataraj’s strategy, helping organizations maintain secure, compliant cloud environments in both deployment and operations. He illustrates a dual-phase approach—automation for initial secure deployments and ongoing compliance monitoring—to ensure that security remains robust as systems evolve.

Finally, we discuss the future of cloud security, including the need for AI governance, third-party risk management, and transparency in model use, all critical as the AI-driven Supercycle unfolds.

What will the future of cloud security look like as AI becomes an integral part of our digital infrastructure? Tune in to explore Nataraj’s vision and strategies, and join the conversation—how is your organization preparing for the new era of AI and cloud security?

Is the tech world on the verge of a new Supercycle driven by AI, or is this another phase of venture capital hype?

In this episode, we’re joined by Rahul Baig, Head of Venture Capital & Growth Equity Coverage at Wells Fargo’s Technology Banking Group, to break down the dynamics reshaping the current tech VC landscape. Rahul offers a unique perspective on what’s captivating venture capitalists today and why the focus is shifting sharply towards AI-driven innovations.

As Rahul explains, the landscape for tech companies is changing dramatically. Software growth has slowed, and non-AI companies are finding it tougher to secure investments and gain traction. At the same time, unicorns outside of AI are experiencing funding dry spells, underscoring a rising trend in public markets that demands growth, profitability, and fair valuations. With increased standards for IPOs and heightened investor scrutiny, the bar for tech companies to go public has never been higher.

Beyond the focus on AI, Rahul highlights broader market forces, such as low volatility and rising equity markets, which are reinvigorating capital markets, albeit against a backdrop of geopolitical tensions and economic uncertainty. In an era moving away from “growth at all costs,” capital efficiency, strong fundamentals, and sustainable growth are becoming essential for tech firms looking to survive and thrive. This shift marks a “survival of the fittest” phase, where companies with strong value propositions and resilient business models are positioned to succeed.

For founders and entrepreneurs, Rahul offers a roadmap to resilience in a crowded and challenging market. He stresses the need to build solutions that address real-world needs, maintain rigorous financial discipline, and focus on sustainable growth. In an environment where liquidity remains scarce and market competition is fierce, mental and physical stamina are essential for success.

What does the future hold for tech VC, and how can companies prepare for long-term growth? Tune in for Rahul’s insights and join the conversation—what do you see as the defining trends in venture capital today?

How are brands adapting to an ever-evolving landscape of emerging technology, and what does it take to make innovation truly impactful?

In this episode, I explore these questions with Christopher Neff, the Global Head of Emerging Experience & Technology at Anomaly, a leader in pushing the boundaries of brand engagement through technology.

Christopher has been instrumental in launching groundbreaking initiatives at Anomaly, such as the Classify tech incubator, designed to help brands navigate the complex domains of GenAI, Web3, and spatial computing. From guiding luxury giants like LVMH and Diageo to co-developing the Creator Cache Web3 program with Ally Financial, Christopher’s work is reshaping the way brands leverage emerging tech to stay connected and relevant.

Christopher shares his unique approach to fostering creativity and learning within tech, emphasizing hands-on experimentation as a key strategy for breaking through hype and understanding genuine capabilities. He highlights how AI, when applied thoughtfully, can enhance creativity and productivity, whether it's generating custom logos or crafting original music.

His insights into tools like Runway for AI-driven animation illustrate how technology can bring imaginative ideas to life while allowing brands to move at a pace previously unachievable. He also addresses the power of metaverse platforms and gaming engines like Roblox and Fortnite, noting how these digital worlds are not just cultural phenomena but are creating new, immersive spaces for younger generations.

We also delve into Christopher's advisory roles, such as his work with Million Marker, which focuses on biological testing to tackle issues like plastic contamination. This ties into his belief that sustainability and ethical considerations are paramount for brands exploring new technologies. By discussing the balancing act of innovation with environmental consciousness, Christopher provides valuable perspective on how tech can evolve responsibly.

What are the biggest challenges and opportunities for brands in this rapidly advancing tech era? And how can they maintain a human-centered approach as they embrace automation and AI?

Tune in for an insightful conversation that challenges conventional thinking on creativity, sustainability, and the future of brand experiences.

Share your thoughts with us—how do you see emerging technology shaping the brand experience in years to come?

Are telecom operators prepared for a future where connectivity is as seamless as it is sophisticated? In this episode, we speak with Emir Aboulhosn, CEO of NetLync, who has been instrumental in transforming how operators deliver mobile services through NetLync's pioneering Entitlements-as-a-Service (EaaS) model.

 Emir shares the story behind this innovative platform, which debuted earlier this year and has quickly attracted over 100 operators worldwide. This service enables mobile network operators (MNOs) and mobile virtual network operators (MVNOs) of all sizes to launch essential mobile features within weeks, slashing deployment times from traditional timelines that stretched to a year or more.

The conversation explores how NetLync’s solution is democratizing access to advanced connectivity features, allowing even smaller operators to compete with larger players. Emir discusses how EaaS is breaking down barriers in an industry traditionally dominated by OEM agreements, making technologies like eSIM Quick Transfer, VoLTE, and WiFi Calling accessible to a wider range of operators.

We also look into the upcoming global adoption of eSIM-only smartphones and how NetLync is positioning itself to support this shift, ensuring that operators are prepared to provide the seamless connectivity experiences customers demand.

As we unpack the broader implications of EaaS, Emir dives into NetLync’s self-onboarding, developer-focused approach and how this method is simplifying integration while setting a new standard for customer experience. What does the future hold for telecom operators as eSIM technology becomes the norm and entitlements technology continues to expand?

Tune in as Emir provides insights into NetLync’s vision for connectivity’s next frontier and shares valuable takeaways for an industry poised for transformation. How do you see this impacting the telecom landscape, and are operators truly ready for what’s next? Let us know your thoughts.

What does it take for organizations to stay one step ahead of cyber threats in an increasingly digital world? In this episode, I sit down with Dirk Schrader, Field CISO EMEA and VP of Security Research at Netwrix, to explore the state of cybersecurity and the findings from Netwrix’s latest annual security report.

The conversation reveals a stark reality: 79% of organizations experienced a cyberattack in the past year, a rise from 68% in 2023, with ransomware remaining one of the most significant threats.

Dirk offers insights into what these trends mean for organizations today, especially as cloud-based infrastructure attacks are now matching on-premise incidents. He highlights how identity compromise has become the primary attack vector, particularly for privileged identities, underscoring the importance of identity and privilege management.

Throughout the episode, Dirk shares the protective measures organizations can adopt, from fostering a positive security culture that encourages reporting and proactive engagement to utilizing just-in-time privilege approaches and identity threat detection systems.

We also discuss the challenges and opportunities brought by remote work and the increasing reliance on cloud services, which demand a shift in traditional security practices. Dirk advocates for a flexible but resilient approach to cyber risk management, where understanding sector-specific needs and balancing regulatory compliance play crucial roles.

Lastly, we touch on the role of AI in the evolving cybersecurity landscape—both as a defense mechanism and as a potential tool for adversaries, especially with threats like deepfake voice calls and scalable persuasive phishing on the horizon.

Tune in to understand how Netwrix’s research and Dirk’s expertise can help your organization anticipate risks, fortify defenses, and foster a robust security strategy in an era where cyber resilience is paramount. What cybersecurity challenges have you faced in your organization, and what steps are you taking to address them? Let us know your thoughts.

How are organizations rethinking workforce strategies to stay flexible and innovative in today’s rapidly changing landscape? This episode features a conversation with Hugo Malan, President of Kelly Science, Engineering, Technology & Telecom, where he shares insights on the shifts shaping workforce management and driving industries forward. 

With a background in electronic engineering and extensive executive experience, Hugo has been instrumental in Kelly’s strategic acquisitions of Softworld and Motion Recruitment Partners. These significant moves have strengthened Kelly’s capabilities in areas like secure government talent and specialized tech staffing, introducing new thinking to their approach.

Hugo discusses mixed labor strategies, blending full-time staff with temporary and project-based roles to create adaptable teams ready for evolving demands. He explains the benefits, including access to niche skills for short-term projects and the ability to adjust workforces effectively across economic cycles. Hugo also examines a recent shift in the temporary labor market, offering perspective on why the industry has seen reduced demand for temporary roles despite economic growth and what this trend may reveal about current business sentiment.

For mid-career tech professionals, Hugo offers guidance on staying competitive, from upskilling to leveraging AI-driven tools that streamline workflows.

In this episode, we tackle a fresh perspective on a common cybersecurity question: What keeps a CISO awake at night?

According to Michael Covington, VP of Strategy at Jamf, the real issue isn’t about external threats but rather a lack of robust security processes, especially in mobile device management. Covington shares insights on how a well-thought-out strategy can let CISOs rest easy, with their minds at ease knowing that key areas, from cyber hygiene to compliance, are under control.

Our conversation dives into three primary areas that Covington believes are essential for keeping mobile device vulnerabilities at bay and ensuring secure integration within enterprise ecosystems. First, he highlights the often-overlooked importance of cyber hygiene. He notes that nearly 40% of mobile users operate devices with known vulnerabilities, a staggering figure that reveals the challenges organizations face in keeping devices up-to-date and correctly configured. Covington argues that regular updates, vigilant configuration management, and consistent patching practices are not just best practices—they’re fundamental in building a secure foundation.

Second, we explore the complexities of compliance, particularly when it comes to mobile devices. Covington points out that many organizations struggle to balance security regulations with the diverse landscape of personal and work devices. He suggests that the right tools can streamline compliance, ensuring that mobile devices align with broader corporate standards without creating unnecessary friction.

Lastly, Covington addresses the evolving nature of BYOD (Bring Your Own Device) policies and the intricacies of managing shared devices. Despite their long-standing presence, these device policies often present challenges, with many organizations lacking effective management strategies. Covington emphasizes the need for layered solutions that integrate into existing security frameworks without overwhelming IT teams or sacrificing the user experience.

Join us as we unpack Jamf’s approach to these challenges and discuss the future of mobile security in industries from healthcare to aviation. How can organizations prepare for the next wave of AI-driven data on mobile devices? And what steps can they take now to ensure seamless, secure access for users? Listen in and share your thoughts on the balance between security, compliance, and user enablement in today’s mobile-driven world.

What does a truly decentralized communication network look like in Web3? Today’s episode explores this question with Push Protocol, a company establishing itself as “The Communication Protocol of Web3.” With over 237,000 subscribers and more than 700 integrations, Push Protocol enables secure, encrypted messaging, notifications, and video for wallet addresses across an open network, powering well-known platforms like Uniswap, Polygon, Arbitrum, and Lens, alongside integrations with MetaMask.

Our conversation with Harsh Rajat Founder, Push Protocol will unpack how the platform has grown to send over 110 billion notifications for Web3 activities, like DeFi transactions and ENS domains. Harsh discusses Push V3, an upcoming launch featuring wallet-free sharing, cross-chain compatibility, and omni-chain capabilities, making it even more adaptable across multiple blockchains.

We’ll also dive into Push Nodes—a new Proof of Stake Network designed to establish a decentralized, scalable communication blockchain. Harsh shares insights into the network’s unique capability to handle high-volume, real-time communication while supporting both EVM and non-EVM transaction payloads.

As privacy and security remain at the forefront of Push Protocol’s mission, end-to-end encryption is key in ensuring sensitive communications are safeguarded. Push Protocol is setting its sights on becoming the foundational communication layer for successful Web3 applications, placing user privacy at the center of decentralized communication.

Are we approaching a future where blockchain-based communication can offer both security and decentralization? Join us to hear Push Protocol’s vision and consider how it might transform the decentralized communication landscape. What role do you see secure communication playing in the future of Web3? Share your thoughts!

In a world increasingly dominated by digital transactions, businesses face the ever-growing challenge of navigating complex payment ecosystems. How can enterprises streamline their payment processes to ensure both customer satisfaction and operational efficiency? Today, we're exploring these questions and more with Tom Voaden, VP of Commercial at BR-DGE, who will shed light on their innovative white-label payment orchestration solution.

BR-DGE, a cutting-edge payment orchestration provider, has made significant strides with its modular, white-label platform designed to seamlessly integrate various payment services under one roof. This solution not only addresses the inefficiencies of legacy systems but also combats market fragmentation, enabling businesses to improve authorization rates and optimize payment processing through dynamic routing and tokenization. Founded in Edinburgh in 2018 and having expanded its footprint globally, BR-DGE is now setting new standards in payment technology by empowering clients with customizable tech stacks that enhance their competitive edge.

The conversation will delve into the specifics of BR-DGE’s offerings, such as BR-DGE Connect, which aggregates payment providers, methods, and fraud management tools, and their tokenization service that enhances transaction security. We will discuss how these services bridge the gap between traditional systems and modern fintech solutions, allowing providers to offer state-of-the-art features without overhauling their existing infrastructure. Additionally, Tom will highlight how BR-DGE's solutions foster better customer relationships through their flexible and scalable technology, facilitating businesses to expand internationally and solidify their market positions.

As BR-DGE continues to grow, exploring data-driven offerings to enrich their value proposition and planning further expansion into markets like Australia, we'll examine the strategic moves that position them as a leader in the payment sector. Their commitment to easing compliance burdens and enhancing merchant retention through innovative services demonstrates a forward-thinking approach to the future of financial transactions.

As we uncover the layers of payment orchestration and its impact on the global market, what are your thoughts on the future of payment technologies? How do you see these innovations influencing your daily business operations or customer interactions? Join the conversation and share your insights.

Can finding a tradesperson be as effortless as ordering a pizza? Today, we explore this question with Jambu Palaniappan, CEO of Checkatrade and former Uber executive, as he leads the digital transformation of the £59 billion UK home services industry. In this episode, Jambu shares his vision for bringing trust and efficiency to a sector that, while essential, has largely remained offline.

Since its founding in 1998, Checkatrade has built a reputation as a trusted platform for connecting homeowners with vetted tradespeople, addressing a critical need that emerged after a natural disaster highlighted the risk of rogue traders. Now, Jambu is focused on evolving Checkatrade from a traditional lead-generation platform into a comprehensive, end-to-end marketplace that simplifies every step of the home services journey—from finding a qualified tradesperson to payment and review. Imagine a world where scheduling, cost estimation, and invoicing are all streamlined on one platform, giving users peace of mind and tradespeople a business management toolkit that’s intuitive and effective.

Checkatrade’s digital roadmap includes innovations like a new consumer app, launched to enhance accessibility and engagement, and business tools that make quoting and invoicing seamless. But with rapid innovation comes the challenge of balancing trust and quality. Checkatrade’s rigorous 12-step vetting process remains central to its mission, and the company continues to reject potential members who don’t meet its standards—because, as Jambu puts it, “no one checks trades like Checkatrade.” Alongside technological advancements, Checkatrade is also addressing a shortage in skilled trades by partnering with over 500 schools to promote careers in the industry, making this digital transformation as inclusive as it is innovative.

In our conversation, Jambu reflects on lessons from his career, including insights from Uber’s rapid growth and his gratitude toward mentors who saw his potential. With new features on the horizon and plans to transform the home services market, what does the future hold for Checkatrade’s digital journey? And will this blend of innovation and trust reshape how we navigate home improvement? Share your thoughts with us after tuning in!

Have you ever thought about how a simple device, something as modest as a “dumb phone,” could bring transformative change to billions? In today’s episode, we're diving into this fascinating intersection of technology, accessibility, and social impact with Anu Bhardwaj, the visionary founder of SHEQONOMI. 

As the world’s first and only women-led podcast platform aimed at the "bottom five billion," SHEQONOMI is making digital content and economic empowerment accessible to underserved women across the globe. From low-cost phones to inclusive content in over 50 languages, Anu's mission is to bridge the gender gap and bring education, health, and financial knowledge to women who traditionally lack access.

SHEQONOMI isn’t your typical podcast platform. It’s specifically designed to work on low-cost mobile applications such as Jio, Cloud Phone, KaiOS, Android, and iOS. Anu’s pioneering approach allows the platform to reach communities often left out of the digital revolution. Imagine being able to connect and educate through over 5,000 women-centric podcasts in diverse languages—empowering voices that span topics from health to entrepreneurship, all while rewarding users for content creation and listening.

Anu also brings a profound personal story of resilience and commitment. Inspired by her daughter’s questions about educational inequalities, she built this platform from scratch, even securing a prestigious $150,000 grant from the Islamic Development Bank during the pandemic. Her achievements don’t stop there: from co-chairing the Blockchain for Impact Summit at the United Nations to being named one of Inc Magazine’s Global Top 100 Female Founders, Anu has made it her mission to use technology to uplift women and drive positive change.

So, what’s next for SHEQONOMI? Anu is setting her sights on developing a "super app" for marginalized populations, integrating generative AI, and expanding partnerships to bring more voices into the conversation. Could this pioneering platform redefine digital inclusion for billions around the world? And as Anu continues to break new ground, who would she love to have a conversation with from the worlds of tech, venture capital, or social impact?

Tune in to discover how SHEQONOMI is reshaping the digital landscape for underserved communities, one podcast at a time. Would you agree that technology’s real power lies in its ability to unite and uplift? Let us know your thoughts!

Are you ready to explore how AI is transforming personal computing? In this episode, I am joined by Louise Quennell from Dell Technologies and Matt Hains from Intel as we discuss the exciting world of AI-powered PCs. With AI increasingly becoming integral to our devices, we uncover how these innovations are boosting productivity, creativity, and collaboration in ways that were once unimaginable. 

AI's impact on business tasks is undeniable, from automating everyday tasks like drafting emails and taking meeting minutes to enhancing video calls with real-time translations and background blur. But it's time to think bigger. As organizations strive to remain competitive, AI PCs are not just an incremental improvement but a pivotal shift in how tasks are automated, data is processed, and security is handled. From healthcare to research and development, these devices are speeding up workflows, improving decision-making, and even personalizing the computing experience by keeping critical data secure on the device itself.   

Matt and Louise provide a fascinating glimpse into the hardware that makes this possible, including Intel's Core Ultra processors, which offer a powerful blend of CPU, GPU, and NPU to accelerate AI workloads. Whether improving battery life, boosting processing speed, or enabling new AI-driven experiences, AI PCs are poised to become essential tools for the modern business environment.

How can businesses effectively adopt this technology, and where do they start? Before scaling up, we'll discuss establishing business personas and testing AI PCs in small, targeted areas. Lou and Matt also dive into Dell's sustainability efforts, showing how their AI PCs are designed with eco-friendliness in mind, from using recycled materials to minimizing energy consumption.

As we continue to witness the shift towards AI-enhanced hardware, it's clear that businesses must think strategically about their digital transformation. How will AI PCs fit into your organization's roadmap? And how will they unlock new levels of innovation and efficiency?

Tune in to hear more, and let us know how you envision AI PCs shaping your business's future.

Learn how to make more innovative tech investments today! https://intel.ly/3SwQxkT ​

What does the future of the automotive industry look like, and how are automakers rethinking their approach to meet evolving consumer demands? In today’s episode, I sit down with Justin Marcucci, Chief Digital Officer at Endava, to explore how the automotive world is navigating a transformative shift.

From direct-to-consumer models and subscription-based sales to the rise of electric vehicles and high-tech in-cabin experiences, Justin shares his insights into how automakers are reimagining the entire customer journey.

As more OEMs move toward owning their customer relationships through direct sales, they face challenges ranging from dealer resistance to complex logistics and regulatory hurdles. 

Justin highlights both the potential cost savings and the roadblocks that are slowing this transition. We also dive into the growing importance of subscription services and how automakers can unlock new revenue streams by offering digital services beyond traditional hardware sales.

Another key focus of our conversation is the evolving expectations of today’s drivers, particularly younger generations. With a reduced emphasis on car ownership and a stronger interest in sustainable transportation and shared mobility, automakers are under pressure to adapt. Justin outlines strategies for engaging this shifting market and overcoming barriers, such as the slower-than-expected adoption of electric vehicles in some regions. Finally, we turn to the in-cabin experience, which is becoming a crucial differentiator for automakers.

Justin explains how advancements in AI and connectivity are shaping the future of in-vehicle interactions, and why it’s critical for OEMs to develop proprietary software platforms to ensure seamless integration and capitalize on monetization opportunities. How are automakers leveraging technology to stay competitive in this rapidly changing landscape?

Tune in as we discuss these trends and explore Endava’s role in helping the automotive industry navigate its digital transformation. Are you ready to rethink how we experience driving in the future? Let us know your thoughts after the episode!

Are we truly harnessing the full potential of AI, or are we missing critical elements that could set us back? Join me as I explore a topic often overlooked yet vital for the ethical advancement of technology: AI bias.

On this episode of Tech Talks Daily, I’m joined by Jennifer Mahoney, Demand Delivery Manager of Data Governance, Privacy, and Protection at Optiv Security, Inc., who brings a wealth of knowledge on this subject.

Jennifer shares insights into the origins, manifestations, and impacts of AI bias, alongside strategies to mitigate its effects. She explains how biases in AI stem from human cognitive processes and societal stereotypes, influencing everything from facial recognition technologies to targeted advertising. We delve into various types of bias such as stereotyping, confirmation bias, and representation bias, examining the real-world repercussions that often remain unnoticed.

Jennifer also discusses the necessity of secure AI governance and the challenges organizations face in operationalizing security programs that integrate AI responsibly. From the pressures of rapid deployment to the need for diverse perspectives and thorough testing, she outlines what effective governance looks like in practice. Additionally, our conversation covers the evolving landscape of AI regulation, including the impact of the EU AI Act and the emergence of industry-specific guidelines.

As we navigate these complex issues, how can organizations balance innovation with ethical considerations to harness the full power of AI without falling prey to its pitfalls? What are the next steps for leaders looking to implement robust AI governance frameworks in their operations? 

Join us as we explore these pressing questions and more, offering insights on creating a more equitable technological future. 

Could artificial intelligence be the secret ingredient to transforming sales performance management? Today, we're joined by Arnab Mishra, CEO of Xactly, to explore this intriguing possibility. Under Arnab's leadership, Xactly has pioneered the integration of generative AI into the sales process, offering organizations remarkable productivity enhancements and more streamlined operations.

Arnab brings a rich background in software executive leadership and a deep understanding of SaaS product development, making him uniquely positioned to speak on the revolutionary impact of AI in sales. With his extensive experience, including roles at Xactly as SVP of Products and later COO, Arnab has been at the forefront of driving growth and innovation within the company.

In this episode, we delve into the practicalities and potential of AI in redefining sales jobs and boosting overall sales productivity. Arnab will share insights on Xactly’s AI Copilot, which utilizes the largest empirical sales performance dataset to enhance decision-making and productivity in sales organizations. We'll discuss the current barriers to AI adoption in sales, such as the steep learning curve and the rapid pace of sales cycles, which often hinder the effective implementation of new technologies.

Moreover, Arnab will outline Xactly’s strategies for overcoming these challenges, including micro-trainings embedded within products to ease the learning process and streamline adoption. We'll also touch on the broader implications of AI in sales, from automating routine tasks to transforming customer interactions through personalized experiences.

As AI continues to evolve, its role in sales goes beyond merely increasing efficiency; it's about enhancing the quality of decisions and interactions. Join us as we uncover how Xactly’s innovations are not just changing the game but also setting the stage for a future where AI and human ingenuity work hand in hand for superior sales performance.

What do you think the future holds for AI in sales? After listening, share your thoughts and join the conversation below.

Have you ever wondered how developing countries are adapting to the rise of cryptocurrency? Or how AI is transforming the way we experience crypto payments in physical retail outlets? In today's episode of the Tech Talks Daily Podcast, I enjoy a conversation with Peko Wan, co-CEO of Pundi X, to explore these very questions.

 Pundi X, celebrating its 7th anniversary, has been at the forefront of the crypto revolution, playing a pivotal role in making cryptocurrency accessible to merchants and consumers alike. From deploying their innovative POS solutions to solidifying partnerships with governments and retailers, Pundi X has consistently pushed the boundaries of what's possible in fintech.

Peko brings over 15 years of IT industry experience and a wealth of knowledge from her time at companies like Opera Software and Ogilvy & Mather. Together, we discuss how crypto payment adoption has evolved since 2017, particularly in developing countries, where currency devaluation and inflation are driving a bottom-up approach to adoption.

Peko also dives into how Pundi X is leveraging AI to enhance crypto payments, from managing liquidity pools to AI-driven mechanisms for anti-money laundering (AML) compliance.

As we explore the challenges and opportunities in the world of crypto payments, Peko shares insights into Pundi X’s upcoming initiatives, including a data marketplace platform launching this November. This initiative will empower users to contribute, annotate, and sell data for AI model training, creating new opportunities for innovation in the space.

How do you see AI reshaping the future of crypto payments? And will developing countries lead the charge in crypto adoption? Tune in, and don’t forget to share your thoughts!

What does it take to turn a life from near rock-bottom to extraordinary success? In this episode of Tech Talks Daily, I sit down with Jeff Lerner, founder of ENTRE Institute, who shares his inspiring story of transformation. In 2008, Jeff was a struggling jazz musician with mounting debt, facing personal and professional challenges. Yet, in just a decade, he reinvented himself—building multiple 8-figure businesses, transforming his personal life, and founding ENTRE Institute, a platform designed to help others achieve “whole life” success.

We dive into Jeff's life philosophy, shaped by his unique 3 Ps framework—Physical, Personal, and Professional—which emphasizes the balance needed to create lasting success. ENTRE Institute has already enrolled over 250,000 students, combining entrepreneurship training with personal development to address the often-overlooked gaps in traditional business education. But how does Jeff see the future of entrepreneurship evolving, particularly with the integration of AI? He offers insight into how AI can revolutionize the entrepreneurial world, while stressing the importance of maintaining authenticity and personal value in a rapidly digitizing landscape.

This episode isn’t just about business—it’s about optimizing all aspects of life. Jeff discusses the power of disciplined focus, proactive decision-making, and aligning your actions with a higher purpose, while sharing practical advice for anyone looking to harness the transformative potential of AI. Whether you're an entrepreneur, freelancer, or employee, Jeff’s story offers both motivation and actionable strategies for achieving success across life’s domains.

Are you ready to unlock your potential? Tune in to hear Jeff's incredible journey and learn how to bring balance, purpose, and innovation into your own life. As always, we’d love to hear your thoughts—how are you leveraging AI in your work, and what life transformations are you aiming for?

In this episode of Tech Talks Daily, I’m joined by Ada Lopez, Senior Manager of Lenovo’s Product Diversity Office, recorded live at Lenovo Tech World in Seattle. Ada is on a mission to make AI more inclusive, accessible, and free of bias, and her passion for driving change through technology is truly inspiring.

We dive into the critical issue of AI bias and explore how algorithms, often unintentionally, reinforce gender, racial, and social biases. Ada breaks down real-world examples, from AI systems used in criminal justice to everyday applications like Google searches and loan approvals, illustrating how bias can creep into these systems. She also shares how Lenovo is actively working to mitigate AI bias through its product diversity office, ensuring that inclusivity and accessibility are built into the design process from the start.

Ada also sheds light on how Lenovo’s AI initiatives are making a tangible difference, including their partnership with the Scott Morgan Foundation to help ALS patients preserve their voices, and the creation of tactile markings on ThinkPads to support users with visual impairments. We also discuss the excitement within Lenovo’s development teams about building ethical AI systems and fostering empathy in product design.

This conversation is a must-listen for anyone interested in the future of AI, the challenges of ensuring fairness and accessibility in technology, and how major tech companies like Lenovo are leading the charge for responsible innovation. Join us as we explore the impact of AI on our lives today—and what’s next for the technology of tomorrow.

In this episode of Tech Talks Daily, I’m live from Lenovo Tech World in Seattle with Linda Yao, where my guest shares exclusive insights into what’s next for AI and how it will impact businesses and individuals alike.

We also delve into the live demonstrations at the event, including Lenovo’s collaboration with the Scott Morgan Foundation to help ALS patients communicate using AI. This powerful display underscores Lenovo’s commitment to using AI for social good, and Linda explains why these initiatives are at the forefront of Lenovo’s mission to create smarter AI for all.

Additionally, Linda reveals the challenges businesses face when implementing AI, especially when it comes to demonstrating ROI. She introduces Lenovo’s “AI Fast Start” program, which is designed to accelerate results for enterprises. We also discuss Lenovo’s hybrid AI portfolio and how businesses across industries are leveraging AI templates to transform their operations.

Join us as we explore the future of AI and how Lenovo is pushing the boundaries of technology, not only to solve complex business problems but also to make a meaningful difference in people’s lives. Whether you're a tech enthusiast or a business leader navigating the AI landscape, this episode is packed with insights and inspiration.

In this episode, I enjoy a discussion with Qianying (Jane) Wang,  VP, Lenovo Technology Committee Secretary-General, General Manager of Research’s Technical Strategy & Innovation Platform.

Recorded live at Lenovo Tech World, Jane shares her journey with Lenovo over the past decade, highlighting the rapid evolution of technology and the company's commitment to innovation.

With a focus on the theme of augmented intelligence, Jane explains how Lenovo is redefining the role of AI in personal computing. She emphasizes that AI is not just about artificial intelligence; it's about enhancing human potential and improving user experience. As the largest PC maker in the world, Lenovo aims to integrate AI seamlessly into home and enterprise PCs, helping users navigate the complexities of technology.

We also explore the concept of hybrid AI and its implications for user privacy, the cognitive overload many face in the digital age, and how AI can serve as a companion to manage information more efficiently. Jane delves into the exciting advancements in 3D experiences and how Lenovo’s innovations aim to bring these technologies closer to users.

Join us as we uncover the future of technology through Jane’s insights, and discover how Lenovo is poised to shape the landscape of AI and human interaction.

In this episode, I explore the dynamic intersection of artificial intelligence and business strategy with Vlad Rozanovich, Senior Vice President of Lenovo's Infrastructure Solutions Group.

Recorded live at Lenovo Tech World, Vlad discusses Lenovo’s comprehensive AI-ready portfolio, designed to accelerate the adoption of hybrid AI solutions across enterprises.

He addresses a pressing concern for many organizations: the return on investment (ROI) of AI technologies. Vlad shares his experiences from engaging with over 110 CIOs and CTOs worldwide, shedding light on what businesses can expect when integrating AI into their operations.

 We also discuss specific use cases, including customer service chatbots and code generation for IT, that showcase immediate benefits and efficiencies gained from AI applications.

This episode highlights Lenovo’s innovative approaches to data management and sustainability through advancements like liquid cooling technologies.

As the industry moves towards smarter, AI-driven solutions, this discussion serves as a crucial resource for business leaders aiming to navigate their AI journey effectively. 

In this episode of Tech Talks Daily, I welcome back Andy Tay from Accenture to unpack insights from their latest report, "Reinventing with a Digital Core." As organizations strive to remain competitive in an increasingly digital landscape, Tay emphasizes the pivotal role of a robust digital core in driving sales and business performance. He outlines three fundamental tenets for companies aiming to build a strong, profitable, and innovative foundation: re-engineering systems for AI operations, tailoring digital advancements to specific needs, and balancing technical debt with future investments.

With the business world shifting towards AI readiness, Tay highlights how leading companies, which increase their strategic innovation investments by at least 6% annually, are positioned to redesign processes, launch new products, and expand into new markets. He explains that prioritizing digital core improvements can lead to automatic enhancements in other areas, simplifying the journey toward achieving a competitive edge in the market. Furthermore, Tay discusses the necessity of allocating approximately 15% of IT budgets to mitigate technical debt while ensuring that organizations maintain evergreen IT capabilities.

We discuss how a strong digital core can catalyze business reinvention, with top performers experiencing up to 20% higher revenue growth and 30% increased profitability. Tay also emphasizes the balanced approach needed for AI integration, urging companies to start small, scale rapidly, and prioritize responsible implementation.

Listeners will gain valuable insights into the integration of cloud infrastructure, data management, and cybersecurity as essential components of a modern digital core. Tay also touches on the future outlook for digital transformation, highlighting the importance of innovation culture, talent development, and ecosystem partnerships in driving continuous reinvention.

To explore more about these topics, you can access the full report here: Accenture's Reinventing with a Digital Core.

Join us for an enlightening discussion that not only provides a roadmap for digital transformation but also equips organizations with the strategies needed to thrive in a technology-driven world. What strategies do you believe are essential for businesses to achieve a successful digital core?

How can businesses bridge the growing tech skills gap and build a future-ready workforce? Today on Tech Talks Daily, I'm joined by Drew Firment, Cloud Strategist at Pluralsight, to explore how organizations can address this challenge head-on.

As technology evolves, the need for upskilling and continuous learning has never been more urgent. Drew shares insights from Pluralsight's 2024 Technical Research Report, revealing that while cloud computing and cybersecurity remain in high demand, many organizations are still struggling to provide the right skills to their teams.

Drew explains how Pluralsight’s platform is helping to close this gap through personalized learning paths, hands-on labs, and real-time feedback. With a focus on connecting individual skills to organizational outcomes, Drew highlights how companies can save up to £22,000 per employee by investing in upskilling rather than hiring new talent. We also discuss the shift in learning models, moving from knowledge retention to human intelligence skills like critical thinking and creative problem-solving—skills that will be crucial in an AI-driven world.

Additionally, Drew shares how organizations can create a culture of continuous learning, where employees are empowered to expand their skill sets, take non-linear career paths, and contribute to long-term digital transformation goals. From overcoming organizational inertia to fostering a sustainable learning culture, Drew provides practical advice for businesses looking to future-proof their workforce.

How can companies prioritize upskilling and create a more adaptable, innovative team? Join us for this insightful discussion, and let us know how you see the future of learning and development evolving.

What does it take to ensure that cutting-edge AI innovations are ethically sound? Today, live from Adobe MAX, I sit down with Grace Yee, Senior Director of Ethical Innovation at Adobe, to explore the intersection of ethics and AI in real-time.

As Adobe unveils its latest advancements at the event, Grace shares how the company's ethical AI program has evolved to meet the challenges posed by generative AI, including Adobe Firefly.

Grace has been spearheading Adobe's AI ethics program since its inception, and she offers exclusive insights into the global AI ethics governance structure she leads. This framework ensures that every AI feature Adobe develops—whether for creative tools or enterprise solutions—adheres to the company’s principles of accountability, responsibility, and transparency. She walks us through the ethics review process, explaining how Adobe evaluates AI products for risks like bias and stereotypes, and collaborates with product teams to ensure innovations align with ethical standards before launch.

Grace highlights the behind-the-scenes work her team does to support new products. From collaborating with native speakers on multilingual support for Adobe Firefly to running risk discovery exercises for high-risk features, her team ensures that innovation is always balanced with responsibility.

As AI becomes more integrated into everyday experiences, how can we continue to innovate while keeping ethics at the forefront? Grace’s perspective offers a window into how Adobe tackles this challenge head-on.

This week Adobe MAX will explore the future of AI, the role of ethics in tech innovation, and what it means for companies and creators alike. How do you think ethical frameworks will shape the next wave of AI development? Tune in and share your thoughts!

What connects a career rooted in the automotive world to leading research and development at one of the world’s fastest-growing EV charging companies? Today, Richard Earl, Director of R&D at EO Charging, reflects on his professional journey and discusses the challenges and opportunities within the rapidly evolving electric vehicle industry. 

With a nod to Steve Jobs' famous words, "You can’t connect the dots looking forward; you can only connect them looking backward," Richard takes us through how his experiences shaped his vision for the future of energy autonomy, where smart energy technologies are at the forefront of the EV revolution.

In this episode of Tech Talks Daily, we’ll explore the world of electric vehicle charging from the perspective of a company that’s making waves on a global scale. Founded in 2014, EO Charging provides cutting-edge, end-to-end EV charging solutions to some of the world’s largest corporations, including Amazon, Tesco, and DHL. Richard shares insights into how EO is tackling the complexities of electrification, from managing corporate fleets to addressing emerging consumer concerns like "charge anxiety."

We’ll dive into the UK government’s 2035 zero-emission mandate and the significant hurdles still faced, such as the lack of incentives and clarity that could hamper mass EV adoption. Richard emphasizes that while government policies may be inconsistent, businesses are moving forward with electrification due to its clear financial and environmental benefits. He also highlights the role of new technologies, such as the ISO 15118 protocol and smart charging innovations, that are set to transform not just EV performance but also the charging experience itself.

How does a company like EO Charging help organizations achieve their net-zero targets? And what is needed from governments to align policy with the ambitions of a greener future? Join us as Richard Earl explains how EO Charging is creating a new ecosystem of energy autonomy and what lies ahead for the EV industry.

As we connect the dots between the present and the future of EVs, what role do you think governments should play in supporting the transition? Let us know your thoughts!

In this episode, I sit down with Richard Barnett, Chief Marketing Officer at Supplyframe, a leader in Design-to-Source Intelligence for the global electronics value chain. Richard brings decades of expertise in semiconductor supply chains and shares insights on the challenges and strategies the industry needs to adopt to build greater resilience. The global semiconductor shortage has had a massive impact across industries, with losses estimated in the hundreds of billions of dollars. 

Richard discusses the root causes behind these shortages, the complexities of multi-tier supply chains, and how product complexity, especially in sectors like automotive, exacerbates the issue.

We also delve into Supplyframe’s latest innovation—its Electronics Product Carbon Footprint (PCF) offering. This resource is the first of its kind, giving global manufacturers access to carbon footprint data for over 300 million electronic parts. Richard explains how this tool is designed to help companies meet evolving regulatory requirements and improve sustainability in product design and sourcing decisions. As the electronics industry grapples with the challenges of integrating sustainability into supply chains, this new capability is set to play a key role in aligning efficiency, cost optimization, and environmental responsibility.

Throughout our conversation, Richard touches on broader industry trends, including the growing role of AI in supply chain management. He emphasizes that AI is already transforming supply chain optimization by providing real-time insights, but the industry still needs to focus on practical outcomes rather than just hype. Finally, we explore what the future holds for global supply chains as new pressures, both geopolitical and financial, create a more uncertain landscape.

How can companies future-proof their operations and drive real change in their supply chain strategies? Tune in to find out!

In this episode of Tech Talks Daily, I explore how Felienne Hermans, creator of the Hedy platform, is reshaping programming education for the next generation. Hedy is an open-source, free platform designed to help children aged 10 and above learn textual programming across multiple languages. With an impressive 500,000 monthly users and translations into 49 languages—including Chinese, Arabic, and Spanish—Hedy is not only accessible but also adaptable to diverse learning environments.

Felienne, a professor of computer science education at Vrije Universiteit Amsterdam and a high-school teacher in the Codasium program, brings a unique perspective on how we need to radically rethink programming education. She shares the inspiration behind Hedy’s development, highlighting how the platform breaks away from traditional teaching models by offering step-by-step, relatable exercises that engage students in a meaningful way. From stories and drawings to music, Hedy’s approach goes far beyond the typical abstract exercises found in traditional programming lessons.

Felienne also dives into the important role that native languages and culture play in fostering stronger connections between young learners and programming. By allowing students to code in their native languages, Hedy is promoting inclusivity and engagement, making technology feel more relevant and attainable. In this conversation, we explore why it's crucial for parents and educators to introduce children to coding early, and how tools like Hedy can help them do so in a way that's both enjoyable and effective.

Felienne also shares her top tips for teaching children to code, offering insights from her own journey as both an educator and a developer. We discuss how to cultivate curiosity in young learners, why programming skills are essential for the future workforce, and how platforms like Hedy are preparing students for the future of technology.

What do you think the future holds for programming education? Could tools like Hedy spark a global movement in coding literacy? Listen in and share your thoughts!

What does it take to lead Data and AI initiatives in today’s fast-paced tech landscape while balancing entrepreneurial ventures? In this episode of the Tech Talks Daily Podcast, I am joined by Suri Nuthalapati, Technical Leader at Cloudera Inc and a member of both the Forbes Technology Council and Entrepreneur Leadership Network.

 Suri shares his fascinating career journey, from moving to the United States from India for his Master’s in Computer Science to founding startups and leading transformative projects at major corporations. With a rich background that spans positions at FedEx and Charter Communications, and now as a driving force at Cloudera, Suri brings a unique perspective on the intersection of technology, innovation, and entrepreneurship. He discusses how his ventures — such as Farmioc, an agriculture data platform aimed at empowering the Indian agriculture sector, and Trida Labs, a cloud-native SQL editor for data teams — have shaped his approach to leadership, adaptability, and fostering innovation.

In his current role at Cloudera, Suri leads the Data and AI practice in the Americas, where he helps enterprises fast-track their adoption of data-driven solutions. We explore key trends such as hybrid and multi-cloud architectures, Generative AI, and modern data architectures like Data Lakehouse, Data Mesh, and Data Fabric.

Through Suri’s guidance, organizations are navigating these advancements to accelerate their digital transformations. Tune in as we dive deep into how Suri has successfully balanced corporate roles with his entrepreneurial ambitions and the lessons he’s learned along the way.

How are Data and AI reshaping industries, and what strategies should enterprises adopt to stay ahead? Have you witnessed Data and AI shaping your industry? How do you see future developments influencing business transformations? Share your thoughts!

In today's episode, we're joined by Marco Palladino, CTO and co-founder of Kong, Inc., a company that’s at the forefront of revolutionizing how businesses interact with data and services through APIs.

With a staggering annual recurring revenue surpassing $100 million, Kong provides essential API technologies to Fortune 500 companies and millions of programmers globally. Their groundbreaking AI Gateway is enabling organizations to harness a wide range of AI services that are becoming crucial for modern operations.

At just 19, Marco and CEO Augusto Marietti started Kong with backing from tech luminaries like Jeff Bezos, Eric Schmidt, and venture firm Andreessen Horowitz. They convinced Bezos of the potential of APIs, influencing Amazon's pivotal shift towards cloud-based microservices, setting a course for the company to become a dominant force in the cloud services sector.

In our conversation, we delve into the origin story of Kong and explore the evolution and significant impact of APIs in today's digital ecosystem. APIs are not just technical tools; they are the lifelines that connect us to the digital world—from AI to cryptocurrency and beyond.

We'll discuss the critical role APIs play in our increasingly data-centric environment and how they are poised to shape the future as we steer towards more AI-driven processes.

Listeners, you’re invited to join the discussion and learn more about how APIs are not merely facilitating digital transformation but are essential building blocks for the technology of tomorrow. For those eager to dive deeper into Marco’s insights or learn more about Kong, Inc.'s innovations, visit Kong's website and follow their journey towards making API technology more accessible and impactful for businesses around the globe.

What are your thoughts on the future of APIs in our tech-driven world? How do you see APIs evolving with the advancements in AI? Share your views with us!

How do businesses protect themselves in an increasingly digital world where cyber threats evolve as quickly as the technologies designed to combat them? In this episode of Tech Talks Daily, we welcome Art Gilliland, CEO of Delinea, a leader in Privileged Access Management (PAM).

Art joins us to discuss Delinea's strategic moves in the fast-paced cybersecurity landscape, including their recent acquisitions of Fastpath and Authomize, and the broader trend of market consolidation amid economic pressures.

Under Art's leadership, Delinea has enhanced its capabilities in cloud and SaaS identity management, reflecting a commitment to addressing sophisticated cyber threats and improving organizational cyber defenses.

Art will share insights on the necessity of identity security as the cornerstone of cyber defense strategies, especially critical as businesses increasingly adopt cloud technologies and face AI-powered threats.

This conversation will also delve into the human aspect of M&A in the tech sector—how Delinea manages to integrate new acquisitions successfully within a matter of months and the role of executive leadership in these processes.

Art's perspective on the ongoing consolidation in the cybersecurity industry highlights the push towards creating more comprehensive, efficient security platforms that reduce both complexity and costs for organizations.

Art outlines the future of identity security, focusing on enhancing authorization capabilities and leveraging AI to automate threat response and decision-making. This discussion is not only about the technology but also about the strategic and human considerations that ensure these tools effectively secure and support the enterprises they are designed to protect.

What challenges and opportunities do you see in the integration of new technologies and companies in the cybersecurity sector? Join the conversation and share your thoughts on how businesses can navigate these complex but essential advancements.

Are you curious about how the latest AI advancements are redefining business technology? Bradley Jenkins, Intel's EMEA lead for AI PC and ISV strategies, joins me in discussing the rise of AI PCs, a game-changing technology revolutionizing the workplace with enhanced computing power designed specifically for AI workloads.

Intel's AI PCs aren't your typical machines; they come equipped with three AI compute engines: the CPU, GPU, and NPU, each optimized to handle different types of AI tasks. This architecture allows businesses to benefit from improved productivity and enhanced security for longer device lifespans. 

 Bradley sheds light on how Intel's AI PC, powered by the Intel Core Ultra processor, enables modern businesses to handle AI-enhanced applications seamlessly, transforming how tasks like content creation, voice-to-text, and security analytics are managed. We also touch on Intel's vPro platform, a curated suite of essential technologies built for the unique needs of business IT, offering solutions across performance, security, manageability, and stability.

Bradley also explains how Intel's software ecosystem, developer support, and AI PC Acceleration Program are vital differentiators, empowering businesses to leverage AI more effectively. We'll explore real-world applications of AI PCs, including the innovative use of Retrieval Augmented Generation (RAG) to retain institutional knowledge and how these PCs can supercharge multitasking during collaboration calls without missing a beat.

 Whether you're an IT professional or a business leader seeking to understand how AI PCs can reshape your organization, this episode thoroughly examines the practical benefits and future potential of Intel's AI-powered computing. 

 So, how will AI PCs change the way we work? Tune in to find out, and share your thoughts after listening!

🔗 Listen to the full interview to learn more about Intel's AI PCs and what makes them stand out from other devices.

Are you ready to boost your productivity? Learn more about how Intel's AI PCs with Intel vPro are built for business https://intel.ly/3SwQxkT

What if AI could transform the way healthcare documents are processed, reducing manual effort and increasing efficiency? In this episode of Tech Talks Daily, I’m joined by Steve Johnson, CEO of Notable Systems, to discuss how his company is harnessing the power of AI to revolutionize healthcare IT. We dive into how Notable Systems' AI-based platform is reshaping the way health data is input, accessed, and processed, helping to humanize and simplify healthcare workflows.

Steve explains how Notable Systems was founded with the goal of liberating human potential through automated document processing, taking tedious tasks like data entry out of the equation.

With AI-driven solutions, the platform is designed to enhance accuracy, reduce the time spent on documentation, and ultimately lead to happier patients and more efficient healthcare providers. By integrating machine learning, natural language processing, and custom algorithms, Notable Systems is tackling some of the most pressing challenges in healthcare administration.

The company recently secured $8.8 million in Series A funding, which will help them expand their team and further develop their capabilities to meet the growing demand for their services. Steve shares the journey behind Notable’s growth, the lessons learned from working with their early anchor customers, and their ambitious plans for the future.

From speeding up patient orders to reducing insurance claim denials, Notable Systems is at the forefront of changing how healthcare organizations operate.

We also explore the balance between AI and human oversight, as Steve reveals how Notable’s technology provides AI confidence levels to guide human review, ensuring accuracy while maintaining speed and efficiency. 

Where do you think AI will have the biggest impact in healthcare over the next few years? Could automated systems like Notable’s reshape the patient experience for the better? Share your thoughts, and let’s continue the conversation.

In this episode of the Tech Talks Daily Podcast, we are joined by Sean Adler, CEO of SWN, to dive into the intriguing world of quantitative finance and alternative financial data. SWN, formerly on the market for $13M before its latest product release, has reshaped the landscape of quant investment by rescaling a quant fund into a highly accessible streamable and downloadable product.

Sean unpacks complex topics like smart beta, factor investing, and quantitative finance, making these sophisticated strategies relatable for listeners. He explains the practical applications of these financial tools, emphasizing the importance of not relying solely on backtesting and how a balanced approach with AI in the financial markets can offer both significant opportunities and challenges. From risk management to derivatives and staying ahead in a competitive landscape, Sean shares his deep insights from years of experience.

We also touch on the secondary market, drawing from Sean's article on Forbes, where he explains the nuances of private equity valuations, alternative trading systems, and the often-overlooked dynamics of secondary liquidity in late-seed startups. The conversation is peppered with his unique perspective, blending elements of corporate strategy with real-world advice for founders navigating the evolving fintech space.

If you're curious about the mechanics of financial markets, the role of alternative data, and the future of fintech, this episode offers a rare behind-the-scenes look into a rapidly changing industry. Plus, with Sean’s storytelling flair and a nod to his love for Guy Ritchie films, there’s no shortage of engaging analogies and thought-provoking insights.

How will the rise of Web3 reshape the way we communicate? In today's episode, I’m joined by Shant Kevonian, co-founder of EtherMail, to explore the fascinating intersection of blockchain technology and email communication.

EtherMail, founded in late 2021, has quickly emerged as a leading player in this space, providing anonymous and encrypted wallet-to-wallet communication. Imagine the power of Gmail, MailChimp, and Metamask all combined into a secure, decentralized platform—that’s EtherMail.

Shant shares the origin story of EtherMail and the vision behind creating the first Web 3.0 email solution. We discuss the significant milestones the company has achieved, including raising $3 million in a seed round led by top Web3 investors like Fabric Ventures and Greenfield One.

I learn more about EtherMail’s mission as Shant offers insights on how the platform is creating a new framework for email economics and consensual marketing, helping Web3 companies deliver blockchain-synced, relevant content to their asset holders.

We also explore the recent launch of EtherMail’s native utility token, EMT, and its critical role in their Advertising Platform. Shant explains how EtherMail's Email-as-a-Wallet (EaaW) solution is bridging the gap between Web2 and Web3, allowing users to create non-custodial wallets via Gmail or Apple accounts in under a minute.

Throughout the conversation, Shant shares valuable advice for aspiring Web3 entrepreneurs and the importance of strategic partnerships, including EtherMail’s backing from investors like Tim Draper. Tune in to learn more about how EtherMail is shaping the future of decentralized communication and what’s next for this innovative platform.

In today's fast-paced tech world, how can businesses stay ahead while overcoming the challenges of digital transformation? In this episode of Tech Talks Daily, I speak with Dave Donatelli from Riverbed, a technology leader with deep industry expertise. We discuss the importance of attracting top talent to the C-suite, the AI conversations happening in boardrooms, and the critical priorities that CIOs need to address in 2024.

Dave also shares insights on Riverbed's newest platform and solutions, which harness AI automation and full-fidelity data to reveal hidden gaps in visibility and enhance digital experiences. We'll explore how Unified Observability helps IT teams overcome pressing challenges, particularly with public clouds, remote work, and enterprise mobile devices. Dave explains the value of open platforms and how organizations can implement scalable AI solutions to improve performance.

Curious about how Unified Observability and AI are reshaping IT strategies? Tune in to discover how Riverbed empowers organizations to elevate their digital experiences. What are your thoughts on these emerging trends? Join the conversation and share your insights.

In this episode of The Tech Talks Daily Podcast, we explore the intersection of AI and cloud technology in the biotech industry with Stephen Deasy, CTO of Benchling.

Benchling is empowering scientists across the globe with a unified platform that supports faster, more efficient research and development, aiming to unlock the full potential of biotechnology.

Stephen discusses how AI is transforming drug discovery through specialized models like AlphaFold and BioNemo, while also warning that without updates to development, testing, and manufacturing, we may face challenges in keeping pace with AI-driven breakthroughs. He emphasizes that modern science needs modern technology to fully capitalize on these innovations.

We also examine how cloud technology is revolutionizing R&D in biotech, allowing companies to innovate rapidly, scale effectively, and focus on core research without getting bogged down in infrastructure management. Stephen shares how Benchling has helped organizations like Sanofi streamline their operations by consolidating legacy systems and creating high-quality, accessible data structures that maximize the impact of AI.

Stephen also highlights ongoing challenges, such as data quality and accessibility, and offers insights into how organizations can successfully integrate AI into their research. He provides valuable advice on fostering cross-functional collaboration, improving onboarding, and ensuring data readiness as key steps to maximizing the potential of AI in biotech.

How can the biotech industry ensure that the speed and scale of AI-driven drug discovery translate into real-world success? Join the discussion, and let us know your thoughts.

In this episode of the Tech Talks Daily Podcast, we're exploring the complex, high-stakes world of AI governance, risk management, and data security with Jack Berkowitz, Chief Data Officer at Securiti AI. Jack brings over 30 years of experience in the data field, having worked with top Fortune 500 companies like ADP and Oracle. Today, he’s leading innovation at Securiti AI, a company that has become synonymous with secure data and AI systems, and is recognized for its Data+AI Command Center.

The conversation begins with the critical challenges facing today's C-Suite. Executives are tasked with navigating the risks and opportunities presented by artificial intelligence while ensuring robust security frameworks are in place. Jack will discuss how CISOs and other executives can strike the right balance between leveraging AI for innovation and safeguarding against ever-evolving cyber threats like data poisoning and model theft. He will explain the steps that companies should take to secure their AI and data ecosystems, focusing on a framework that’s not just reactive but proactive in identifying risks before they become costly problems.

Listeners will learn about proven strategies for implementing AI governance, as Jack shares real-world examples from his discussions with clients. He’ll also provide insights into how Securiti AI’s platform is giving companies visibility into their data flows and equipping security teams with tools to manage compliance, privacy, and security across systems like SharePoint and Office 365.

Are traditional security frameworks adequate in this fast-paced AI era? What can CISOs do to ensure their AI systems remain transparent, trusted, and secure, all while complying with an increasingly complex web of regulations? Join us as Jack Berkowitz answers these questions.

In the latest episode of Tech Talks Daily, I bring you an insightful conversation with Andy Bradshaw, CEO of SHL, the global leader in HR technology and psychometric science. 

As AI continues to reshape the workforce in 2024, Andy's expertise couldn't be more timely or relevant. With over 25 years of experience in technology and service businesses, including renowned companies like Hewlett-Packard, Microsoft, and Sophos, Andy brings a unique perspective to the table. His passion for leveraging human insights to enhance business and individual performance shines through in this engaging discussion.

The episode kicks off with Andy explaining SHL's remarkable transformation into a talent intelligence powerhouse. He reveals how the company now leverages an astounding 45 billion data points across 150 countries to provide unparalleled workforce insights.

As the conversation unfolds, Andy delves into the critical importance of early career recruitment in today's global talent shortage. He offers valuable strategies for tackling this challenge, emphasizing the need for organizations to recognize recruitment as a two-way process and focus on potential and motivation rather than just specific job skills.

One of the most fascinating segments of the interview explores the power of internal mobility in solving critical talent problems. Andy shares eye-opening statistics on the increased filling of internal roles post-pandemic and discusses the numerous benefits this approach brings to both employers and employees.

The discussion then shifts to a fresh perspective on hiring tech talent, with Andy advocating for looking beyond skills to focus on durable "soft" or "human" skills. He introduces SHL's identification of 11 key human skills for early career success, explaining how this approach allows for future job flexibility and can help reduce salary inflation for niche skills.

Andy talks about how organizations are moving from talk to action, setting concrete targets, and using independent data sources to reduce bias in hiring and talent management processes.

The conversation concludes with an exploration of AI's role in recruitment. Andy outlines how SHL integrates AI into assessment products, candidate experience, and big data interpretation while emphasizing the importance of transparent and ethical AI use.

Have you ever wondered what it takes to transform cloud security? In this episode of Tech Talks Daily, we explore the intricacies of cloud security with Snir Ben Shimol, the CEO and co-founder of Zest Security.

Snir’s journey is nothing short of extraordinary—an Israeli intelligence alumnus with over 15 years of experience in security research and product management, he’s deeply familiar with the challenges of cybersecurity. Having already built a successful company that was acquired by Palo Alto Networks, Snir couldn’t stay away from the field for long. His latest venture, Zest Security, is designed to address the most pressing cloud security challenges businesses face today.

Zest Security was born out of Snir’s and his co-founder Uri Aronovici’s firsthand frustrations with cloud risk remediation processes. Both ex-Israeli Intelligence officers, Snir and Uri have a combined experience of over 25 years in cloud, product, and application security. Their deep understanding of security issues has fueled their mission to drastically reduce the time it takes to remediate cloud security vulnerabilities—from weeks to mere hours.

What sets Zest apart is its seamless integration with existing tools and DevOps workflows, automating and simplifying the remediation process.

During our conversation, Snir shares how Zest Security’s platform is redefining how organizations tackle cloud security vulnerabilities. We explore how their solution connects with cloud environments and security products to offer both immediate mitigation and long-term remediation.

We also discuss the current challenges in cloud security, including the startling statistic that only about 50% of identified security issues get fixed due to various constraints. Snir’s vision is to make resolution platforms a standard component of cloud security, sitting alongside tools like CSPM and EDR.

This episode is packed with insights into the future of cloud security, the role of AI and automation in vulnerability management, and how customer feedback is shaping the evolution of Zest Security’s platform. As businesses increasingly rely on cloud services, Snir’s expertise offers a valuable perspective on how to stay ahead of the ever-evolving threats in cybersecurity.

How can organizations better protect themselves in this digital age, and what role will platforms like Zest play in this journey? Tune in to find out, and don’t forget to share your thoughts on this transformative approach to cloud security.

How can geo-data become a game-changer in our fight against climate change? In this episode of Tech Talks Daily, I speak with Robert Hoddenbach, Global Director for Climate and Nature at Fugro, the world’s leading geo-data specialist.

With over 20 years of experience in geospatial and marine environments, Robert offers a deep dive into the critical role geo-data plays in understanding and mitigating the impacts of climate change, particularly in our oceans.

Despite covering 70% of the Earth's surface, only 25% of the ocean has been mapped, leaving a vast knowledge gap in one of the planet's most crucial ecosystems. Robert explains how Fugro is at the forefront of addressing this challenge, using advanced technologies such as AI and machine learning to collect and analyze oceanic data. This data is not just vital for scientific research but also has practical applications, from laying underwater cables to understanding the ecosystem impacts on climate.

We also explore how public-private partnerships and the sharing of ocean science data are essential for tackling global environmental challenges. Robert shares insights from Fugro’s involvement in initiatives like Seabed 2030 and UNESCO’s Ocean Decade for Ocean Science, highlighting the importance of collaboration in driving large-scale impact.

But it's not just about data collection; it's about creating shared value. Robert discusses how Fugro balances commercial objectives with environmental preservation, emphasizing the need for long-term engagement with stakeholders to redefine value beyond shareholder returns.

Join us as we uncover the future of ocean health, the technological innovations shaping the field, and the critical need for comprehensive geo-data to ensure a sustainable future for our planet. Could geo-data be the key to unlocking the mysteries of our oceans and safeguarding our environment? Tune in to find out, and share your thoughts on how technology can help us navigate these uncharted waters.

In this episode of Tech Talks Daily, I have a conversation with Jay Vijayan, the founder and CEO of Tekion, to explore how his company is transforming the automotive retail industry through its cloud-native platform. Jay, who has an extensive background in technology and served as CIO at Tesla, shares his insights into how Tekion is unifying the automotive retail ecosystem by integrating everything from inventory management to customer service on a single platform.

Jay discusses the impact of Tekion's platform on customer experiences, highlighting how it enables seamless digital and hybrid transactions, enhances transparency, and significantly improves efficiency for dealerships. We also dive into the role of AI within Tekion’s platform, where automated personalized responses are driving time savings and increasing conversion rates.

Additionally, Jay explains how Tekion is helping dealerships and consumers transition to electric vehicles and the crucial role of cybersecurity in protecting connected automotive systems. This episode is packed with insights into the future of automotive retail and the technology driving this transformation.

In this episode of Tech Talks Daily, I speak with Shauna Higgins and Tristan McCallum from IDA Ireland about the country’s ambitious offshore wind energy goals and its growing green economy initiatives.

Ireland is quickly positioning itself as a leader in renewable energy, with a target of achieving 5GW of offshore wind capacity by 2030, and scaling up to 20GW by 2040. With an eye toward creating 37GW by 2050, Ireland is on a clear path to not only meet its own energy needs but to generate surplus capacity, opening up exciting investment opportunities and fostering innovation in sectors like energy storage, AI, and digital technologies.

Shauna and Tristan walk us through the current state of Ireland’s offshore wind ecosystem, which is driven by strategic policy frameworks like the Future Framework and the €5 billion grid infrastructure plan known as Shaping Our Electricity Future. These initiatives are laying the groundwork for Ireland’s sustainable development, attracting international players and fostering a strong business environment for renewable energy companies.

With over 300 wind farms already generating 4.8GW of power, Ireland ranks third globally for installed wind power per capita, and the momentum is growing as the country hosts its first offshore wind auction, granting 3GW of projects.

We also discuss how IDA Ireland is helping companies embrace the twin transition of digital and green technologies, supporting industries that are eager to tap into Ireland’s emerging renewable energy surplus. From energy storage innovations to the growing potential of hydrogen for industrial use, Ireland’s offshore wind strategy is opening doors for tech-driven advancements in sectors such as AI, quantum computing, and semiconductor manufacturing.

Shauna and Tristan provide insights into how Ireland is leveraging its natural resources, talent pool, and pro-business policies to create a robust ecosystem for offshore wind energy. With top-tier training centers like the National Maritime College and a highly skilled workforce, Ireland is not just building a sustainable future but leading the way for other countries to follow.

Tune in to discover how Ireland’s offshore wind initiatives are driving new opportunities for businesses and helping to shape the future of renewable energy. Could Ireland’s investment in offshore wind become a global model for sustainable growth? Shauna and Tristan share their thoughts on the exciting potential ahead.

In this episode of Tech Talks Daily, I explore how AI is transforming the way small businesses operate with Akankshu Dhawan, SVP of Small Business & Growth at Xero. With a growing focus on productivity in the wake of a significant decline for small businesses, Akankshu shares how Xero is reimagining accounting through the integration of AI and mobile technologies. 

Xero’s latest innovation, Just Ask Xero (JAX), is an AI-powered business companion that helps small businesses manage finances and make smarter decisions on the go. Whether it’s generating invoices, predicting cash flow, or providing real-time business insights, JAX is designed to offer proactive support across commonly used platforms like WhatsApp, email, and SMS.

We discuss how small business productivity in the UK has dropped by 7% in the past year, leaving many owners struggling to keep up. Akankshu explains how AI can be the game changer for these businesses, automating repetitive tasks like bank reconciliation and invoicing, while also delivering critical insights to help owners focus on what they do best. As Xero continues to integrate AI into its platform, the combination of mobile tech and generative AI is making accounting more accessible, allowing business owners to take control of their finances from anywhere.

Akankshu highlights the practical ways in which AI is reshaping the future of small business management. He explains how tools like JAX provide not just faster processes but also deeper insights, helping businesses make informed decisions. The enhanced Xero mobile app is a key part of this strategy, offering new features like predictive cash flow forecasting, mobile bank reconciliation, and the ability to manage invoices on the go.

This episode offers valuable insights into how Xero is bridging the gap between small businesses and the promise of AI-driven productivity. Could tools like JAX finally bring AI’s benefits to small businesses? Tune in to hear Akankshu’s thoughts on the future of financial management and how AI is helping small businesses thrive.

In this episode of Tech Talks Daily, I speak with Liya Spiegel, Senior Director of Product at WalkMe, about how their latest launch, WalkMeX, is transforming the future of business productivity.

While the market is flooded with AI assistants and tools, many are falling short of their promise to enhance productivity. Liya offers a fresh perspective on how WalkMe is creating a new category of AI that not only meets employees where they are but also delivers real, tangible benefits by working seamlessly across any application.

WalkMeX, the first AI copilot with the context to guide users through any workflow, is changing how businesses and employees interact with AI. Rather than adding to the noise of countless apps, WalkMeX integrates into existing workflows, providing proactive and contextual advice that helps users focus on their work, not on managing technology. Liya shares insights into how WalkMeX flies side by side with users, allowing organizations of all sizes to deploy AI to boost productivity in a meaningful way.

We also explore the challenges businesses face as AI tools flood the market. Many employees are expected to adapt quickly to new copilots without fully understanding their purpose or benefits, leaving them overwhelmed. A recent survey of 1,000 office workers revealed that over half use AI at work, yet almost half see no improvement in their productivity. Liya explains why so many AI tools fail and how WalkMe’s approach is different, offering a unified experience that removes the friction from adopting new technology.

Liya discusses the broader implications of AI for the future of work, including how WalkMe’s advancements will help organizations use AI safely and effectively. With WalkMeX, businesses are finally able to unlock the true potential of AI, enabling employees to focus on what truly matters.

In this episode of Tech Talks Daily, I speak with Eric Miquelon, President of Avanade’s North American business, about how AI is transforming the workplace, particularly in the areas of mental well-being, work-life balance, and leadership fatigue. As AI continues to reshape industries, its role in supporting employee wellness and enhancing productivity is becoming more critical. Eric shares insights into how AI tools are being used to monitor and improve mental health in the workplace, offering innovative support as organizations navigate the challenges of modern work environments.

We explore how AI is streamlining tasks, enabling employees to focus on more meaningful work while reducing the pressure of constant productivity demands. Eric provides examples of how AI tools, like M365 Copilot, are freeing up time by automating routine tasks, which helps improve work-life balance—especially in remote and hybrid work models. The discussion highlights how these tools are helping not only individual contributors but also new workforce entrants, equipping them with the knowledge and support to be more productive from day one.

Eric also tackles the issue of leadership burnout, explaining how AI assists leaders in managing their responsibilities more efficiently. By automating routine activities such as email summarization or presentation creation, AI allows leaders to focus on higher-impact tasks that align with their strengths, helping to prevent burnout and maintain team morale. This approach fosters smarter work allocation, ensuring that global teams can operate effectively across time zones while maintaining a human-centric approach to leadership.

We also discuss Avanade's strategic partnerships with Microsoft and Accenture, giving them early access to AI innovations that enable them to lead the market in advising clients on AI strategies. Eric emphasizes the importance of balancing AI-driven efficiency with a focus on employee well-being and the need for careful governance, training, and change management as AI continues to evolve.

In this episode of Tech Talks Daily, I have a conversation with Cleber Martins, Head of Payments Intelligence & Risk Solutions at ACI Worldwide, about the increasing challenges of fraud prevention as real-time payments become more widespread. With payments now happening instantly, the window for detecting fraud is shrinking, and financial institutions need new methods to stay ahead. Cleber explains how fraudsters are using advanced AI techniques to exploit these fast transactions, employing everything from voice mimicry to sophisticated social engineering attacks that trick consumers into initiating transactions.

Cleber also highlights how financial institutions are using AI to fight back. From tracking behavioral biometrics to analyzing patterns in real time, banks are employing cutting-edge AI tools to detect fraud at the very moment it occurs. However, this shift isn't without its challenges.

Cleber discusses the difficulties financial institutions face, such as the high costs of implementing AI systems and the need for domain-specific expertise to ensure the technology is applied effectively.

We explore how AI is becoming a crucial tool for not only fraud prevention but also improving the services and products banks offer. By sharing AI-generated insights between institutions, Cleber believes real-time payments could become one of the safest payment methods available. He also touches on how AI will transform the workforce, enhancing human skills rather than replacing them, and encouraging a focus on solving business problems rather than mastering specific technologies.

In this episode of Tech Talks Daily, I explore the fascinating journey of Yehor Dremliuha, a software engineer from Ukraine who made the move to the UK just two years ago. Yehor shares his story of navigating the UK tech scene, comparing it with his experience in Ukraine and offering insights into how each country approaches technology. We delve into his startup, Swetrix, a privacy-first, open-source web analytics platform that tackles the challenges many face with Google Analytics, such as data privacy and user tracking.

Yehor explains how Swetrix stands apart with its cookie-free, GDPR-compliant approach, giving businesses an alternative that fosters transparency. He also discusses the transformative role of AI in software development, detailing how it powers Swetrix’s ability to predict website traffic and helps streamline other aspects of development. While some in the industry remain skeptical of AI's potential, Yehor believes it has the power to drive the next wave of innovation, citing personal experiences where AI tools have drastically reduced time spent on complex tasks.

The conversation also covers open-source development, where Yehor highlights the importance of community collaboration and building trust through transparency. Additionally, he offers a glimpse into the trends shaping backend development, from serverless architecture and microservices to Kubernetes and the rising importance of AI and prompt engineering skills.

This episode is packed with valuable insights into the tech industry, the power of open-source software, and Yehor’s inspiring personal journey from Ukraine to launching a successful startup in the UK. How is AI impacting the future of software development? Tune in to hear Yehor’s perspective on what lies ahead.

In this episode of The Tech Talks Daily Podcast, I sit down with Christopher Meredith, Senior VP of Business Development at Xsolla for EMEA, to explore the latest trends and developments shaping the video game industry. Xsolla, a global leader in video game commerce, plays a vital role in helping developers and publishers fund, market, and monetize their games worldwide. With Chris's extensive background, including roles at Sony PlayStation and Warner Bros, he shares his valuable insights on how the gaming landscape is evolving and how Xsolla is supporting the entire lifecycle of game development.

We begin by discussing Xsolla’s unique approach to supporting developers, from securing funding and monetization strategies to providing ongoing assistance through product suites and integration roadmaps. Chris explains how Xsolla sponsors industry events and conferences to connect developers with investors and offers expertise in navigating the complex world of game publishing. As the gaming industry becomes more diverse and dynamic, Xsolla adapts to meet the evolving needs of developers, helping them maximize revenue and grow their businesses.

A key focus of our conversation is the impact of the EU’s Digital Markets Act (DMA) on game developers and publishers. Chris highlights how the DMA is set to level the playing field by increasing transparency, reducing gatekeeping, and allowing smaller developers more direct access to consumers. He discusses how this regulation could lead to lower commission rates, greater interoperability between platforms, and improved search and discovery algorithms that benefit indie developers. Chris also touches on the DMA’s potential to reduce platform lock-in effects through data portability provisions, empowering developers to have more control over their products.

We also explore the trends Chris has observed at recent industry events like Gamescom and Devcom. Mobile gaming continues to surge, supported by the rise in cashless transactions and digital wallets. Indie game development is capturing an ever-growing share of the market, thanks to innovations in cloud gaming and influencer marketing. Chris shares insights into how the industry is evolving and what Xsolla is doing to help developers and publishers adapt to these changes, including expanding their presence in key territories and developing new tools to meet the bespoke needs of their partners.

In this episode of The Tech Talks Daily Podcast, I sit down with Andrei Danescu, CEO and Co-founder of Dexory, to explore how AI and robotics are revolutionizing the world of supply chains and warehouse logistics. With global supply chains facing unprecedented challenges due to the pandemic and ongoing geopolitical tensions, companies like Dexory are at the forefront of transforming the industry by enhancing efficiency, resilience, and adaptability.

Andrei walks us through Dexory’s cutting-edge solutions, starting with their 12-meter-tall autonomous robot, designed to dramatically improve warehouse efficiency. Equipped with cameras and 3D depth perception sensors, this robot can scan over 10,000 pallets per hour, covering large warehouse spaces in less than a day. 

By providing real-time visibility and eliminating the gaps in warehouse operations, Dexory’s technology helps businesses save valuable time and improve overall productivity. Andrei also introduces Dexory’s digital twin platform, which creates a virtual model of warehouse environments, giving operators instant access to critical data for optimizing storage and operations.

Our conversation touches on the broader impact of the pandemic on logistics and how it accelerated technological adoption in the supply chain industry. As companies were forced to move operations online, the need for more resilient and efficient systems became clear. Andrei explains how AI and robotics have become essential tools for navigating this new landscape, offering actionable insights and streamlining processes that used to require significant human intervention.

Looking ahead, Andrei shares his vision for the future of supply chains, where AI plays a practical role in day-to-day operations, uncovering hidden efficiencies and enhancing human capabilities. He emphasizes the importance of symbiosis between humans and technology, with AI and robotics augmenting human decision-making to create smarter, faster, and more efficient operations.

Finally, we delve into Dexory’s rapid growth, from its launch in 2022 to its expansion across the UK, Europe, the US, and the Middle East within just 18 months. Andrei shares some of the key milestones that have shaped Dexory’s journey, including the company’s continuous innovation in robotics and AI, and the challenges they face as they strive to meet the ever-evolving needs of their customers.