Podd: MLOps.community

LinkedIn Recommender System Predictive ML vs LLMs

12 augusti | 48 min

GPU Considerations, Labeling Privacy, Rapid Fine Tuning, and the Role of Private Eval Pipelines to Benchmark New Models

9 augusti | 56 min

The Rise of Sovereign AI and Global AI Innovation in a World of US Protectionism // Frank Meehan // MLOps Podcast #331

11 juli | 54 min

A New Way of Building with AI

9 juli | 65 min

Inside Uber’s AI Revolution - Everything about how they use AI/ML

4 juli | 45 min

The Missing Data Stack for Physical AI

1 juli | 53 min

AI Reliability, Spark, Observability, SLAs and Starting an AI Infra Company

27 juni | 97 min

Greg Kamradt: Benchmarking Intelligence | ARC Prize

24 juni | 49 min

Bridging the Gap Between AI and Business Data // Deepti Srivastava // #325

20 juni | 57 min

The Creator of FastAPI’s Next Chapter // Sebastián Ramírez // #324

17 juni | 70 min

Everything Hard About Building AI Agents Today

13 juni | 47 min

Tricks to Fine Tuning // Prithviraj Ammanabrolu // #318

11 juni | 54 min

Packaging MLOps Tech Neatly for Engineers and Non-engineers // Jukka Remes // #322

10 juni | 56 min

Hard Learned Lessons from Over a Decade in AI

6 juni | 49 min

Product Metrics are LLM Evals // Raza Habib CEO of Humanloop // #320

3 juni | 53 min

Getting AI Apps Past the Demo // Vaibhav Gupta // #319

30 maj | 50 min

Building Out GPU Clouds // Mohan Atreya // #317

23 maj | 48 min

A Candid Conversation Around MCP and A2A // Rahul Parundekar and Sam Partee // #316 SF Live

21 maj | 65 min

AI in M&A: Building, Buying, and the Future of Dealmaking // Kison Patel // #315

16 maj | 56 min

AI, Marketing, and Human Decision Making // Fausto Albers // #313

14 maj | 50 min

MLOps with Databricks // Maria Vechtomova // #314

13 maj | 53 min

Making AI Reliable is the Greatest Challenge of the 2020s // Alon Bochman // #312

6 maj | 62 min

Behavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // Devansh Devansh // #311

2 maj | 62 min

GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // Paco Nathan & Weidong Yang // #310

29 april | 74 min

AI Data Engineers - Data Engineering After AI // Vikram Chennai // #309

25 april | 50 min

I Am Once Again Asking "What is MLOps?" // Oleksandr Stasyk // #308

22 april | 67 min

How Sama is Improving ML Models to Make AVs Safer // Duncan Curtis // #307

18 april | 46 min

Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // Luca Fiaschi // #306

15 april | 62 min

Real-Time Forecasting Faceoff: Time Series vs. DNNs // Josh Xi // #305

11 april | 54 min

We're All Finetuning Incorrectly // Tanmay Chopra // #304

8 april | 61 min

From Shiny to Strategic: The Maturation of AI Across Industries // David Cox // #303

7 april | 41 min

Streaming Ecosystem Complexities and Cost Management // Rohit Agrawal // #302

4 april | 49 min

Fraud Detection in the AI Era // Rafael Sandroni // #301

1 april | 41 min

Beyond the Matrix: AI and the Future of Human Creativity

30 mars | 55 min

Efficient GPU infrastructure at LinkedIn // Animesh Singh // MLOps Podcast #299

28 mars | 59 min

Building Trust Through Technology: Responsible AI in Practice // Allegra Guinan // #298

25 mars | 47 min

Claude Plays Pokémon - A Conversation with the Creator // David Hershey // #294

21 mars | 47 min

From Rules to Reasoning Engines // George Mathew // #296

18 mars | 65 min

GenAI Traffic: Why API Infrastructure Must Evolve... Again // Erica Hughberg // #296

14 mars | 66 min

The Unbearable Lightness of Data // Rohit Krishnan // #295

11 mars | 54 min

Kubernetes, AI Gateways, and the Future of MLOps // Alexa Griffith // #294

7 mars | 52 min

Future of Software, Agents in the Enterprise, and Inception Stage Company Building // Eliot Durbin // #293

4 mars | 54 min

The Agent Exchange: Practitioner Insights

3 mars | 48 min

Talk to Your Data: The SQL Data Analyst

28 februari | 54 min

Getting to Grips with Web Agents

26 februari | 46 min

The Challenge with Voice Agents

22 februari | 48 min

The Agent Landscape - Lessons Learned Putting Agents Into Production

20 februari | 69 min

Evolving Workflow Orchestration // Alex Milowski // #291

14 februari | 75 min

Insights from Cleric: Building an Autonomous AI SRE // Willem Pienaar // #290

11 februari | 56 min

Robustness, Detectability, and Data Privacy in AI // Vinu Sankar Sadasivan // #289

7 februari | 53 min

AI & Aliens: New Eyes on Ancient Questions // Richard Cloete // #288

4 februari | 48 min

Real LLM Success Stories: How They Actually Work // Alex Strick van Linschoten // #287

31 januari | 50 min

Navigating Machine Learning Careers: Insights from Meta to Consulting // Ilya Reznik // #286

27 januari | 61 min

Collective Memory for AI on Decentralized Knowledge Graph // Tomaž Levak // #285

24 januari | 53 min

Efficient Deployment of Models at the Edge // Krishna Sridhar // #284

17 januari | 52 min

Real World AI Agent Stories // Zach Wallace // #283

15 januari | 47 min

Machine Learning, AI Agents, and Autonomy // Egor Kraev // #282

8 januari | 65 min

Re-Platforming Your Tech Stack // Michelle Marie Conway & Andrew Baker // #281

3 januari | 51 min

Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280

23 december 2024 | 58 min

Unleashing Unconstrained News Knowledge Graphs to Combat Misinformation // Robert Caulk // #279

20 december 2024 | 75 min

LLM Distillation and Compression // Guanhua Wang // #278

17 december 2024 | 50 min

AI's Next Frontier // Aditya Naganath // #277

11 december 2024 | 58 min

PyTorch for Control Systems and Decision Making // Vincent Moens // #276

4 december 2024 | 57 min

AI-Driven Code: Navigating Due Diligence & Transparency in MLOps // Matt van Itallie // #275

29 november 2024 | 57 min

PyTorch's Combined Effort in Large Model Optimization // Michael Gschwind // #274

26 november 2024 | 58 min

LLMs to agents: The Beauty & Perils of Investing in GenAI // VC Panel // Agents in Production

22 november 2024 | 33 min

We Can All Be AI Engineers and We Can Do It with Open Source Models // Luke Marsden // #273

20 november 2024 | 51 min

Exploring AI Agents: Voice, Visuals, and Versatility // Panel // Agents in Production

15 november 2024 | 29 min

The Impact of UX Research in the AI Space // Lauren Kaplan // #272

13 november 2024 | 68 min

EU AI Act - Navigating New Legislation // Petar Tsankov // MLOps Podcast #271

1 november 2024 | 59 min

Boosting LLM/RAG Workflows & Scheduling w/ Composable Memory and Checkpointing // Bernie Wu // #270

22 oktober 2024 | 55 min

How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269

18 oktober 2024 | 62 min

Exploring the Impact of Agentic Workflows // Raj Rikhy // #268

15 oktober 2024 | 51 min

The Only Constant is (Data) Change // Panel // DE4AI

11 oktober 2024 | 41 min

The AI Dream Team: Strategies for ML Recruitment and Growth // Jelmer Borst and Daniela Solis // #267

9 oktober 2024 | 59 min

Making Your Company LLM-native // Francisco Ingham // #266

6 oktober 2024 | 58 min

Unpacking 3 Types of Feature Stores // Simba Khadder // #265

1 oktober 2024 | 68 min

Reinvent Yourself and Be Curious // Stefano Bosisio // MLOps Podcast #264

27 september 2024 | 57 min

Global Feature Store // Gottam Sai Bharath & Cole Bailey // #263

24 september 2024 | 50 min

RAG Quality Starts with Data Quality // Adam Kamor // #262

20 september 2024 | 60 min

Who's MLOps for Anyway? // Jonathan Rioux // #261

17 september 2024 | 70 min

Alignment is Real // Shiva Bhattacharjee // #260

13 september 2024 | 40 min

Ax a New Way to Build Complex Workflows with LLMs // Vikram Rangnekar // #259

11 september 2024 | 53 min

Building in Production Human-centred GenAI Solutions // Mohamed Abusaid & Mara Pometti// #177

5 september 2024 | 63 min

Visualize - Bringing Structure to Unstructured Data // Markus Stoll // #258

3 september 2024 | 51 min

AI Testing Highlights // Special MLOps Podcast Episode

1 september 2024 | 10 min

MLSecOps is Fundamental to Robust AISPM // Sean Morgan // #257

30 augusti 2024 | 43 min

MLOps for GenAI Applications // Harcharan Kabbay // #256

27 augusti 2024 | 67 min

BigQuery Feature Store // Nicolas Mauti // #255

23 augusti 2024 | 51 min

Design and Development Principles for LLMOps // Andy McMahon // #254

20 augusti 2024 | 70 min

Data Quality = Quality AI // AIQCON Panel

16 augusti 2024 | 27 min

The Variational Book // Yuri Plotkin // #253

13 augusti 2024 | 56 min

Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON

9 augusti 2024 | 31 min

Red Teaming LLMs // Ron Heichman // #252

6 augusti 2024 | 70 min

Balancing Speed and Safety // Panel // AIQCON

2 augusti 2024 | 36 min

Reliable LLM Products, Fueled by Feedback // Chinar Movsisyan // #251

30 juli 2024 | 49 min

A Blueprint for Scalable & Reliable Enterprise AI/ML Systems // Panel // AIQCON

26 juli 2024 | 36 min

AI Operations Without Fundamental Engineering Discipline // Nikhil Suresh // #250

23 juli 2024 | 49 min

AI in Healthcare // Eric Landry // #249

19 juli 2024 | 51 min

Evaluating the Effectiveness of Large Language Models: Challenges and Insights // Aniket Singh // #248

16 juli 2024 | 36 min

Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #247

12 juli 2024 | 62 min

Detecting Harmful Content at Scale // Matar Haller // #246

9 juli 2024 | 51 min

All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245

5 juli 2024 | 53 min

Meta GenAI Infra Blog Review // Special MLOps Podcast

3 juli 2024 | 39 min

AI Agents for Consumers // Shaun Wei // #244

28 juni 2024 | 57 min

ML and AI as Distinct Control Systems in Heavy Industrial Settings // Richard Howes // #243

25 juni 2024 | 57 min

Accelerating Multimodal AI // Ethan Rosenthal // #242

21 juni 2024 | 55 min

Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241

18 juni 2024 | 57 min

How to Build Production-Ready AI Models for Manufacturing // [Exclusive] LatticeFlow Roundtable

14 juni 2024 | 57 min

From Robotics to Recommender Systems // Miguel Fierro // #240

11 juni 2024 | 58 min

Uber's Michelangelo: Strategic AI Overhaul and Impact // #239

7 juni 2024 | 36 min

AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238

4 juni 2024 | 45 min

Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237

31 maj 2024 | 47 min

Managing Small Knowledge Graphs for Multi-agent Systems // Tom Smoker // #236

28 maj 2024 | 65 min

Just when we Started to Solve Software Docs, AI Blew Everything Up // Dave Nunez // #235

27 maj 2024 | 62 min

Open Standards Make MLOps Easier and Silos Harder // Cody Peterson // #234

21 maj 2024 | 46 min

Retrieval Augmented Generation

17 maj 2024 | 44 min

RecSys at Spotify // Sanket Gupta // #232

16 maj 2024 | 50 min

From A Coding Startup to AI Development in the Enterprise // Ryan Carson // #231

10 maj 2024 | 58 min

FedML Nexus AI: Your Generative AI Platform at Scale // Salman Avestimehr // #230

7 maj 2024 | 53 min

What is AI Quality? // Mohamed Elgendy // #228

3 maj 2024 | 46 min

Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228

30 april 2024 | 56 min

Leading Enterprise Data Teams // Sol Rashidi // #227

26 april 2024 | 43 min

The Rise of Modern Data Management // Chad Sanderson // #226

23 april 2024 | 58 min

Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // #225

19 april 2024 | 54 min

GenAI in Production - Challenges and Trends // Verena Weber // #224

17 april 2024 | 49 min

Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable

12 april 2024 | 49 min

From MVP to Production // AI in Production Conference

9 april 2024 | 36 min

Data Engineering in the Federal Sector // Shane Morris // #223

5 april 2024 | 63 min

What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // #222

2 april 2024 | 81 min

MLOps - Design Thinking to Build ML Infra for ML and LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // #221

29 mars 2024 | 60 min

4 Years of the MLOps Community // Demetrios Brinkmann // #220

26 mars 2024 | 64 min

The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219

22 mars 2024 | 75 min

Security and Privacy // Day 2 Panel 1 // AI in Production Conference

19 mars 2024 | 35 min

[Exclusive] Zilliz Roundtable // Why Purpose-built Vector Databases Matter for Your Use Case

15 mars 2024 | 59 min

A Decade of AI Safety and Trust // Petar Tsankov // MLOps Podcast #218

12 mars 2024 | 58 min

The Real E2E RAG Stack // Sam Bean, Rewind AI // #217

8 mars 2024 | 70 min

Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215

5 mars 2024 | 51 min

Becoming an AI Evangelist // Alex Volkov // #215

1 mars 2024 | 75 min

LLM Use Cases in Production // AI in Production Conference // Panel 1

28 februari 2024 | 31 min

Information Retrieval & Relevance // Daniel Svonava // #214

24 februari 2024 | 56 min

Evaluating and Integrating ML Models // Morgan McGuire and Anish Shah // #213

21 februari 2024 | 52 min

Data Governance and AI // Alexandra Diem // #212

16 februari 2024 | 66 min

Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211

13 februari 2024 | 53 min

LLM Evaluation with Arize AI's Aparna Dhinakaran // #210

9 februari 2024 | 56 min

Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209

6 februari 2024 | 64 min

[Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source

2 februari 2024 | 56 min

Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208

30 januari 2024 | 57 min

How Data Platforms Affect ML & AI // Jake Watson // #207

26 januari 2024 | 39 min

RAG Has Been Oversimplified // Yujian Tang // #206

23 januari 2024 | 49 min

The Myth of AI Breakthroughs // Jonathan Frankle // #205

19 januari 2024 | 70 min

MLOps at the Crossroads // Patrick Barker & Farhood Etaati // #204

16 januari 2024 | 49 min

Pioneering AI Models for Regional Languages // Aleksa Gordić // #203

12 januari 2024 | 64 min

Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // #202

9 januari 2024 | 69 min

Language, Graphs, and AI in Industry // Paco Nathan // #201

5 januari 2024 | 78 min

Founding, Funding, and the Future of MLOps // Mihail Eric // #200

2 januari 2024 | 58 min

Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // #199

29 december 2023 | 52 min

Inferring Creativity // Nick Hasty // #198

26 december 2023 | 55 min

The Role of Infrastructure in ML // Niels Bantilan // #197

22 december 2023 | 65 min

LLMs in Focus: From One-Size Fits All to Verticalized Solutions // Venky Ganti & Laurel Orr // #196

19 december 2023 | 55 min

[Exclusive] Weights & Biases Round-table // Model Management in a Regulated Environment

15 december 2023 | 58 min

Building the Future of AI in Software Development // Varun Mohan // #195

12 december 2023 | 65 min

AI in Education Fireside Chat // LLMs in Production Conference 3

8 december 2023 | 31 min

[Exclusive] Tecton Round-table // Get your ML Application Into Production

7 december 2023 | 56 min

DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // #194

5 december 2023 | 66 min

Fireside Chat with LLM Startups // LLMs in Production Conference 3

1 december 2023 | 31 min

LLMs in Biomaterials Production // Pierre Salvy // #193

28 november 2023 | 55 min

Product Engineering for LLMs // LLMs in Production Conference Part III // Panel 2

24 november 2023 | 32 min

Enterprises Using MLOps, the Changing LLM Landscape, MLOps Pipelines // Chris Van Pelt // #192

21 november 2023 | 48 min

Building Defensible AI Apps // Gregory Kamradt // #191

17 november 2023 | 66 min

Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security // Ads Dawson // #190

14 november 2023 | 60 min

Designing for Forward Compatibility in Gen AI // Rohit Agarwal // #189

10 november 2023 | 60 min

Impact of LLMs on the Tech Stack and Product Development // Anand Das // #188

7 november 2023 | 55 min

Building Effective Products with GenAI // Faizaan Charania // #187

3 november 2023 | 53 min

The Future of Feature Stores and Platforms // Mike Del Balso & Josh Wills // # 186

31 oktober 2023 | 71 min

Lessons on Data Science Leadership // Luigi Patruno // #185

27 oktober 2023 | 74 min

Data Platforms in MLOps: Translating Business Goals into Product Decisions // Richa Sachdev // #184

24 oktober 2023 | 43 min

MLOps vs ML Orchestration // Ketan Umare // #183

20 oktober 2023 | 50 min

MLOps@GetYourGuide // Jean Machado, Meghana Satish, Olivia Houghton, Theodore Meynard// #182

20 oktober 2023 | 64 min

The Centralization of Power in AI // Kyle Harrison // # 181

13 oktober 2023 | 62 min

Adventures in Building CLIP & Other (Largeish) LMs // Sachin Abeywardana // #180

10 oktober 2023 | 67 min

All About Evaluating LLM Applications // Shahul Es // #179

6 oktober 2023 | 51 min

Building an ML Platform: Insights, Community, and Advocacy // Stephen Batifol // #178

3 oktober 2023 | 46 min

Collaboration and Strategy // Vin Vashishta // #176

18 september 2023 | 52 min

Ux of an LLM User Panel // LLMs in Production Conference Part II

15 september 2023 | 31 min

From Virtualization to AI Integration // Lamia Youseff // # 175

12 september 2023 | 52 min

LLM on K8s Panel // LLMs in Conference in Production Conference Part II

8 september 2023 | 34 min

Harnessing MLOps in Finance // Michelle Marie Conway // MLOps Podcast Coffee #174

5 september 2023 | 65 min

MLOps vs. LLMOps Panel // LLMs in Conference in Production Conference Part II

1 september 2023 | 36 min

Building Cody, an Open Source AI Coding Assistant // Beyang Liu // MLOps Podcast #173

29 augusti 2023 | 62 min

Evaluation Panel // Large Language Models in Production Conference Part II

25 augusti 2023 | 32 min

FrugalGPT: Better Quality and Lower Cost for LLM Applications // Lingjiao Chen // MLOps Podcast #172

22 augusti 2023 | 63 min

Building LLM Products Panel // LLMs in Production Conference Part II

18 augusti 2023 | 46 min

Using Large Language Models at AngelList // Thibaut Labarre // MLOps Podcast #171

15 augusti 2023 | 52 min

All the Hard Stuff with LLMs in Product Development // Phillip Carter // MLOps Podcast #170

11 augusti 2023 | 61 min

MLOps at the Age of Generative AI // Barak Turovsky // MLOps Podcast #169

8 augusti 2023 | 57 min

Experiment Tracking in the Age of LLMs // Piotr Niedźwiedź // MLOps Podcast #168

1 augusti 2023 | 45 min

Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167

25 juli 2023 | 74 min

Eliminating Garbage In/Garbage Out for Analytics and ML // Roy Hasson & Santona Tuli // MLOps Podcast #166

18 juli 2023 | 51 min

Python Power: How Daft Embeds Models and Revolutionizes Data Processing // Sammy Sidhu // MLOps Podcast #165

11 juli 2023 | 51 min

Open Source and Fast Decision Making // Rob Hirschfeld // MLOps Podcast #164

4 juli 2023 | 60 min

Democratizing AI // Yujian Tang // MLOps Podcast #163

27 juni 2023 | 54 min

From Arduinos to LLMs: Exploring the Spectrum of ML // Soham Chatterjee // MLOps Podcast #162

20 juni 2023 | 45 min

The Long Tail of ML Deployment // Tuhin Srivastava // MLOps Podcast #161

13 juni 2023 | 51 min

Clean Code for Data Scientists // Matt Sharp // MLOps Podcast # 160

7 juni 2023 | 46 min

Why is MLOps Hard in an Enterprise? // Maria Vechtomova & Basak Eskili // MLOps Podcast #159

30 maj 2023 | 55 min

Large Language Models at Cohere // Nils Reimers // MLOps Podcast #158

16 maj 2023 | 75 min

Data Privacy and Security // LLMs in Production Conference Panel Discussion

12 maj 2023 | 25 min

MLOps Build or Buy, Startup vs. Enterprise? // Aaron Maurer & Katrina Ni # 157

9 maj 2023 | 50 min

Cost/Performance Optimization with LLMs [Panel]

6 maj 2023 | 36 min

Machine Learning Education at Uber // Melissa Barr & Michael Mui // MLOps Podcast #156

2 maj 2023 | 59 min

The Birth and Growth of Spark: An Open Source Success Story // Matei Zaharia // MLOps Podcast #155

25 april 2023 | 58 min

ML Scalability Challenges // Waleed Kadous // MLOps Podcast # 154

18 april 2023 | 61 min

[EXCLUSIVE EPISODE!] LLM Key Results

13 april 2023 | 48 min

Multilingual Programming and a Project Structure to Enable It // Rodolfo Núñez // MLOps Podcast #153

10 april 2023 | 60 min

[Bonus Episode] Practical AI x MLOps // Demetrios Brinkmann, Mihail Eric, Daniel Whitenack and Chris Benson

7 april 2023 | 59 min

How A Manager Became a Believer in DevOps for Machine Learning // Keith Trnka // MLOps Podcast #152

4 april 2023 | 56 min

ML in Production: A DS from Ubisoft Perspective // Jean-Michel Daignan // MLOps Podcast #151

28 mars 2023 | 50 min

Large Language Models in Production Round-table Conversation

23 mars 2023 | 58 min

The Future of Search in the Era of Large Language Models // Saahil Jain // MLOps Podcast #150

21 mars 2023 | 51 min

The Challenges of Deploying (many!) ML Models // Jason McCampbell // MLOps Podcast #149

14 mars 2023 | 56 min

Intelligence & MLOps // Karl Fezer // MLOps Podcast # 148

7 mars 2023 | 47 min

The Rise of Serverless Databases // Alex DeBrie // MLOps Podcast #147

28 februari 2023 | 58 min

The Ops in MLOps - Process and People // Shalabh Chaudri // MLOps Podcast #146

21 februari 2023 | 59 min

Griffin, ML Platform at Instacart // Sahil Khanna // MLOps Podcast #145

14 februari 2023 | 46 min

Non-traditional Career Paths in MLOps // Matthew Dombrowski // MLOps Podcast #144

7 februari 2023 | 48 min

Investing in the Next Generation of AI & ML // Jill Chase & Manmeet Gujral // MLOps Podcast #143

31 januari 2023 | 41 min

Approaches to Fairness and XAI // Murtuza Shergadwala // MLOps Podcast #142

24 januari 2023 | 39 min

Airflow Sucks for MLOps // Stephen Bailey // MLOps Podcast #141

17 januari 2023 | 52 min

Updated The Evolution of ML Infrastructure // Sakib Dadi // MLOps Podcast #140

10 januari 2023 | 52 min

Foundational Models are the Future but... with Alex Ratner CEO of Snorkel AI // MLOps Podcast #139

3 januari 2023 | 52 min

Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138

27 december 2022 | 41 min

Machine Learning Operations — What is it and Why Do We Need It? // Niklas Kühl // MLOps Podcast #137

20 december 2022 | 59 min

Systems Engineer Navigating the World of ML // Andrew Dye // MLOps Podcast #136

13 december 2022 | 40 min

"Real-Time" ML: Features and Inference // Sasha Ovsankin and Rupesh Gupta // MLOps Podcast #135

9 december 2022 | 52 min

Building Threat Detection Systems: An MLE's Perspective // Jeremy Jordan // MLOps Podcast #134

6 december 2022 | 50 min

Real-time Machine Learning with Chip Huyen // MLOps Coffee Sessions #133

22 november 2022 | 59 min

What is Data / ML Like on League? // Ian Schweer // MLOps Coffee Sessions #132

15 november 2022 | 61 min

Let's Continue Bundling into the Database // Ethan Rosenthal // MLOps Coffee Sessions #131

8 november 2022 | 52 min

MLOps for Ad Platforms // Andrew Yates // MLOps Coffee Sessions #130

31 oktober 2022 | 45 min

Voice and Language Tech // Catherin Breslin // Coffee Sessions #129

21 oktober 2022 | 50 min

Managing Machine Learning Projects // Simon Thompson // MLOps Coffee Sessions #128

19 oktober 2022 | 45 min

Reliable ML // Niall Murphy & Todd Underwood // Coffee Sessions #127

7 oktober 2022 | 62 min

ML Unicorn Start-up Investor Tells-IT-All // George Mathew // MLOps Coffee Sessions #126

4 oktober 2022 | 51 min

Databricks Model Serving V2 // Rafael Pierre // Coffee Sessions #125

30 september 2022 | 55 min

Monitoring Unstructured Data // Aparna Dhinakaran & Jason Lopatecki // Lightning Sessions #2

27 september 2022 | 11 min

Trustworthy Machine Learning // Kush Varshney // Coffee Sessions #124

21 september 2022 | 59 min

RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day // Gleb Abroskin // MLOps Coffee Sessions #123

16 september 2022 | 52 min

Scaling Similarity Learning at Digits // Hannes Hapke // Coffee Sessions #122

9 september 2022 | 57 min

Bringing DevOps Agility to ML// Luis Ceze // Coffee Sessions #121

6 september 2022 | 65 min

Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120

2 september 2022 | 54 min

MLOps at DoorDash // Hien Luu and DoorDash Leads // Coffee Sessions #119

30 augusti 2022 | 46 min

ML Platforms, Where to Start? // Olalekan Elesin // Coffee Sessions #118

26 augusti 2022 | 53 min

Data Engineering for ML // Chad Sanderson // Coffee Sessions #117

19 augusti 2022 | 58 min

Scaling Machine Learning with Data Mesh // Shawn Kyzer // Coffee Sessions #116

17 augusti 2022 | 54 min

How Hera is an Enabler of MLOps Integrations // Flaviu Vadan // Coffee Sessions #115

14 augusti 2022 | 42 min

Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

10 augusti 2022 | 57 min

Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113

6 augusti 2022 | 62 min

MLX: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112

3 augusti 2022 | 50 min

More than a Cache: Turning Redis into a Composable, ML Data Platform // Samuel Partee // Coffee Sessions #111

30 juli 2022 | 49 min

Just Fetch the Data and then... // David Bayliss // Coffee Sessions #110

29 juli 2022 | 52 min

Why You Need More Than Airflow // Ketan Umare // Coffee Sessions #109

23 juli 2022 | 72 min

ML Flow vs Kubeflow 2022 // Byron Allen // Coffee Sessions #108

19 juli 2022 | 66 min

Why and When to Use Kubeflow for MLOps // Ryan Russon // Coffee Sessions #107

11 juli 2022 | 59 min

Building a Culture of Experimentation to Speed Up Data-Driven Value // Delina Ivanova // MLOps Coffee Sessions #106

5 juli 2022 | 54 min

Cleanlab: Labeled Datasets that Correct Themselves Automatically // Curtis Northcutt // MLOps Coffee Sessions #105

1 juli 2022 | 66 min

MLOps + BI? // Maxime Beauchemin // MLOps Coffee Sessions #104

24 juni 2022 | 52 min

Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103

17 juni 2022 | 65 min

Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102

10 juni 2022 | 52 min

Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101

3 juni 2022 | 59 min

Scaling Real-time Machine Learning at Chime // Peeyush Agarwal // Lightning Sessions #1

27 maj 2022 | 24 min

MLOps Critiques // Matthijs Brouns // MLOps Coffee Sessions #100

27 maj 2022 | 50 min

CPU vs GPU // Ronen Dar & Gijsbert Janssen van Doorn // MLOps Coffee Sessions #99

20 maj 2022 | 64 min

Racing the Playhead: Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98

12 maj 2022 | 58 min

Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // MLOps Coffee Sessions #97

5 maj 2022 | 54 min

FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96

2 maj 2022 | 53 min

MLOps as Tool to Shape Team and Culture // Ciro Greco // MLOps Coffee Sessions #95

25 april 2022 | 43 min

Traversing the Data Maturity Spectrum: A Startup Perspective // Mark Freeman // Coffee Sessions #94

21 april 2022 | 46 min

Model Monitoring in Practice: Top Trends // Krishnaram Kenthapadi // MLOps Coffee Sessions #93

14 april 2022 | 52 min

Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92

11 april 2022 | 42 min

The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91

7 april 2022 | 40 min

Bringing Audio ML Models into Production // Valerio Velardo // MLOps Coffee Sessions #90

4 april 2022 | 51 min

A Journey in Scaling AI // Gabriel Straub // MLOps Coffee Sessions #89

31 mars 2022 | 53 min

ML Platform Tradeoffs and Wondering Why to Use Them // Javier Mansilla // MLOps Coffee Sessions #88

28 mars 2022 | 54 min

Don't Listen Unless You Are Going to Do ML in Production // Kyle Morris // MLOps Coffee Sessions #87

17 mars 2022 | 52 min

Building ML/Data Platform on Top of Kubernetes // Julien Bisconti // MLOps Coffee Sessions #86

12 mars 2022 | 48 min

Continuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85

10 mars 2022 | 45 min

Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84

2 mars 2022 | 46 min

Better Use cases for Text Embeddings // Vincent Warmerdam // MLOps Coffee Sessions #83

28 februari 2022 | 48 min

Feature Stores at Shopify and Skyscanner // Matt Delacour and Mike Moran // Reading Group #4

23 februari 2022 | 50 min

Trustworthy Data for Machine Learning // Chad Sanderson // MLOps Meetup #93

21 februari 2022 | 51 min

Practitioners Guide to MLOps // Donna Schut and Christos Aniftos // Coffee Sessions #82

15 februari 2022 | 47 min

Investing in MLOps // Leigh Marie Braswell and Davis Treybig // MLOps Coffee Sessions #81

14 februari 2022 | 49 min

The Journey from Data Scientist to MLOps Engineer // Ale Solano // MLOps Coffee Sessions #80

8 februari 2022 | 42 min

Platform Thinking: A Lemonade Case Study // Orr Shilon // MLOps Coffee Sessions #79

4 februari 2022 | 52 min

Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // MLOps Coffee Sessions #78

31 januari 2022 | 50 min

Data Mesh - The Data Quality Control Mechanism for MLOps? // Scott Hirleman // MLOps Coffee Sessions #77

28 januari 2022 | 57 min

Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76

25 januari 2022 | 51 min

Towards Observability for ML Pipelines // Shreya Shankar // MLOps Coffee Sessions #75

21 januari 2022 | 57 min

Scaling Biotech // Jesse Johnson // MLOps Coffee Sessions #74

19 januari 2022 | 51 min

On Structuring an ML Platform 1 Pizza Team //Breno Costa & Matheus Frata //MLOps Coffee Sessions #73

7 januari 2022 | 53 min

2021 MLOps Year in Review // Vishnu Rachakonda and Demetrios Brinkmann // MLOps Coffee Sessions #72

3 januari 2022 | 52 min

Setting up an ML Platform on GCP: Lessons Learned // Mefta Sadat // MLOps Coffee Sessions #71

28 december 2021 | 40 min

2022 Predictions for MLOps and the Industry // Reah Miyara // MLOps Coffee Sessions #70

23 december 2021 | 36 min

Building for Small Data Science Teams // James Lamb // MLOps Coffee Sessions #69

20 december 2021 | 53 min

Wikimedia MLOps // Chris Albon // Coffee Sessions #68

13 december 2021 | 66 min

ML Stepping Stones: Challenges & Opportunities for Companies // John Crousse // Coffee Sessions #67

9 december 2021 | 48 min

Machine Learning at Reasonable Scale // Jacopo Tagliabue // MLOps Coffee Sessions #66

8 december 2021 | 65 min

The Future of Data Science Platforms is Accessibility // Skylar Payne // Coffee Session #65

30 november 2021 | 52 min

Impact of SWE in ML Projects // Laszlo Sragner and Tim Blazina // MLOps Reading Group

29 november 2021 | 56 min

The Future of AI and ML in Process Automation // Slater Victoroff // MLOps Coffee Sessions #64

23 november 2021 | 58 min

PyTorch: Bridging AI Research and Production // Dmytro Dzhulgakov // Coffee Sessions #63

16 november 2021 | 53 min

I Don't Like Jupyter Notebooks // Joel Grus // Coffee Sessions #62

9 november 2021 | 56 min

ML Tests // Svet Penkov // Coffee Sessions #61

2 november 2021 | 41 min

Linkedin Job Recommendations // Alexandre Patry // Coffee Sessions #60

25 oktober 2021 | 52 min

Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman // Coffee Sessions #59

11 oktober 2021 | 71 min

10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58

7 oktober 2021 | 56 min

The Future of ML and Data Platforms // Michael Del Balso - Erik Bernhardsson // Coffee Sessions #57

1 oktober 2021 | 55 min

A Few Learnings from Building a Bootstrapped MLOps Services Startup //Soumanta Das// Coffee Sessions #56

27 september 2021 | 52 min

Learning and Teaching MLOps Applications // Salwa Muhammad // MLOps Coffee Sessions #55

21 september 2021 | 48 min

Machine Learning SRE // Niall Murphy // MLOps Coffee Sessions #54

10 september 2021 | 49 min

MLOps Insights // David Aponte-Demetrios Brinkmann-Vishnu Rachakonda // MLOps Coffee Sessions #53

7 september 2021 | 38 min

Vector Similarity Search at Scale // Dave Bergstein // MLOps Coffee Sessions #52

31 augusti 2021 | 50 min

ML Security: Why should you care? // Sahbi Chaieb // MLOps Coffee Sessions #51

17 augusti 2021 | 53 min

Creating MLOps Standards // Alex Chung and Srivathsan Canchi // MLOps Coffee Sessions #50

12 augusti 2021 | 48 min

Aggressively Helpful Platform Teams // Stefan Krawczyk // MLOps Coffee Sessions #49

10 augusti 2021 | 52 min

Tour of Upcoming Features on the Hugging Face Model Hub // Julien Chaumond // MLOps Coffee Sessions #48

27 juli 2021 | 52 min

Fast.ai, AutoML, and Software Engineering for ML: Jeremy Howard // Coffee Session #47

15 juli 2021 | 58 min

Learning from 150 Successful ML-enabled Products at Booking.com // Pablo Estevez // Coffee Sessions #46

13 juli 2021 | 57 min

Machine Learning in Cyber Security // Monika Venckauskaite // MLOps Meetup #70

6 juli 2021 | 54 min

Enterprise Security and Governance MLOps // Diego Oppenheimer // MLOps Coffee Sessions #45

2 juli 2021 | 54 min

Autonomy vs. Alignment: Scaling AI teams to deliver value // Grant Wright // MLOps Coffee Sessions #44

30 juni 2021 | 51 min

How Pinterest Powers Image Similarity // Shaji Chennan Kunnummel // System Design Reviews #1

29 juni 2021 | 58 min

Engineering MLOps // Emmanuel Raj // MLOps Meetup #69

28 juni 2021 | 52 min

Project/Product Management for MLOps // Korri Jones - Simarpal Khaira - Veselina Staneva // MLOps Meetup #68

21 juni 2021 | 57 min

Maturing Machine Learning in Enterprise // Kyle Gallatin // MLOps Coffee Sessions #43

15 juni 2021 | 47 min

Practical MLOps Part 2 // Alfredo Deza // MLOps Meetup #66

5 juni 2021 | 62 min

Common Mistakes in the ML Development Lifecycle // Kseniia Melnikova // MLOps Meetup #65

1 juni 2021 | 55 min

Model Performance Monitoring and Why You Need it Yesterday // Amit Paka // MLOps Coffee Sessions #42

1 juni 2021 | 67 min

CI/CD in MLOPS // Monmayuri Ray // MLOps Coffee Sessions #41

27 maj 2021 | 51 min

Operationalizing Machine Learning at Scale // Christopher Bergh // MLOps Meetup #64

25 maj 2021 | 58 min

Scaling AI in production // Srivatsan Srinivasan // MLOps Coffee Sessions #40

21 maj 2021 | 52 min

MLOps: A leader's perspective // Stephen Galsworthy // MLOps Coffee Sessions #39

18 maj 2021 | 54 min

Learnings from Live Coding: An MLOps Project on Twitch // Felipe Campos Penha // MLOps Meetup #63

14 maj 2021 | 50 min

Law of Diminishing Returns for Running AI Proof-of-Concepts // Oguzhan Gencoglu // MLOps Meetup #62

10 maj 2021 | 56 min

Organisational Challenges of MLOps // Adam Sroka // MLOps Coffee Sessions #38

7 maj 2021 | 55 min

From Idea to Production ML // Lex Beattie - Michael Munn - Mike Moran // MLOps Meetup #61

3 maj 2021 | 53 min

MLOps Memes // Ariel Biller // MLOps Coffee Sessions #37

30 april 2021 | 61 min

Luigi in Production Part 2 // Luigi Patruno // MLOps Coffee Sessions #36

23 april 2021 | 59 min

War Stories Productionising ML // Nick Masca // Coffee Session #35

19 april 2021 | 51 min

Deploying Machine Learning Models at Scale in Cloud // Vishnu Prathish // MLOps Meetup #60

16 april 2021 | 58 min

Machine Learning at Atlassian // Geoff Sims // Coffee Session#34

12 april 2021 | 59 min

MLOps Community 1 Year Anniversary! // Demetrios Brinkmann, David Aponte & Vishnu Rachakonda // MLOps Meetup #59

9 april 2021 | 59 min

MLOps Investments // Sarah Catanzaro // Coffee Session #33

6 april 2021 | 46 min

Model Watching: Keeping Your Project in Production // Ben Wilson // MLOps Meetup #58

4 april 2021 | 53 min

A Missing Link in the ML Infrastructure Stack // Josh Tobin // MLOps Meetup #57

26 mars 2021 | 56 min

The Godfather Of MLOps // D. Sculley // MLOps Coffee Sessions #32

23 mars 2021 | 52 min

Operationalizing Machine Learning at a Large Financial Institution // Daniel Stahl // MLOps Meetup #56

19 mars 2021 | 65 min

How to Avoid Suffering in Mlops/Data Engineering Role // Igor Lushchyk // MLOps Meetup #55

12 mars 2021 | 58 min

Product Management in Machine Learning // Laszlo Sragner // MLOps Meetup #54

5 mars 2021 | 58 min

MLOps Engineering Labs Recap // Part 2 // MLOps Coffee Sessions #31

2 mars 2021 | 64 min

How Explainable AI is Critical to Building Responsible AI // Krishna Gade MLOps // Meetup #53

1 mars 2021 | 57 min

MLOps Engineering Labs Recap // Part 1 // MLOps Coffee Sessions #30

23 februari 2021 | 60 min

'Git for Data' - Who, What, How and Why? // Luke Feeney - Gavin Mendel-Gleason // MLOps Meetup #52

19 februari 2021 | 58 min

Agile AI Ethics: Balancing Short Term Value with Long Term Ethical Outcomes // Pamela Jasper // MLOps Meetup #51

12 februari 2021 | 67 min

Culture and Architecture in MLOps // Jet Basrawi // MLOps Coffee Sessions #29

8 februari 2021 | 54 min

2 tools to get you 90% operational // Michael Del Balso - Willem Pienaar - David Aronchick // MLOps Meetup #50

5 februari 2021 | 57 min

Machine Learning Design Patterns for MLOps // Valliappa Lakshmanan // MLOps Meetup #49

2 februari 2021 | 57 min

Lessons Learned From Hosting the Machine Learning Engineered Podcast // Charlie You // MLOps Coffee Sessions #28

29 januari 2021 | 65 min

Practical MLOps // Noah Gift // MLOps Coffee Sessions #27

26 januari 2021 | 59 min

Serving ML Models at a High Scale with Low Latency // Manoj Agarwal // MLOps Meetup #48

24 januari 2021 | 56 min

When Machine Learning meets privacy - Episode 9

21 januari 2021 | 42 min

Machine Learning Feature Store Panel Discussion // MLOps Coffee Sessions #26

19 januari 2021 | 66 min

ProductizeML: Assisting Your Team to Better Build ML Products // Adrià Romero // MLOps Meetup #47

18 januari 2021 | 51 min

When Machine Learning meets privacy - Episode 8

14 januari 2021 | 29 min

Most Underrated MLOps Topics // Marian Ignev MLOps // Coffee Sessions #25

12 januari 2021 | 54 min

Real-time Feature Pipelines, A Personal History // Hendrik Brackmann // MLOps Meetup #46

8 januari 2021 | 58 min

Machine Learning Design Patterns // Sara Robinson // MLOps Coffee Sessions #24

29 december 2020 | 60 min

SRE for ML Infra // Todd Underwood // MLOps Coffee Sessions #23

22 december 2020 | 72 min

How To Move From Barely Doing BI to Doing AI // Joe Reis // MLOps Meetup #45

20 december 2020 | 54 min

Deep in the heart of data // Carl Steinbach // MLOps Coffee Sessions #22

18 december 2020 | 56 min

When machine learning meets privacy - Episode 7

17 december 2020 | 36 min

When Machine Learning meets privacy - Episode 6

14 december 2020 | 36 min

Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44

14 december 2020 | 56 min

A Conversation with Seattle Data Guy // Benjamin Rogojan // MLOps Coffee Sessions #21

8 december 2020 | 47 min

Monzo Bank - An MLOps Case Study // Neal Lathia // MLOps Coffee Sessions #20

7 december 2020 | 64 min

When Machine Learning meets privacy - Episode 5

3 december 2020 | 33 min

When Machine Learning meets privacy - Episode 4

26 november 2020 | 23 min

Introducing Data Downtime: From Firefighting to Winning // Barr Moses // MLOps Coffee Sessions #19

24 november 2020 | 61 min

The Current MLOps Landscape // Nathan Benaich & Timothy Chen // MLOps Meetup #43

23 november 2020 | 59 min

When Machine Learning meets privacy - Episode 3 with Charles Radclyffe

19 november 2020 | 52 min

UN Global Platform // Mark Craddock // Co-Founder & CTO, Global Certification and Training Ltd // MLOps Meetup #42

16 november 2020 | 59 min

When Machine Learning meets Data Privacy - Episode 2 with Cat Coode

12 november 2020 | 36 min

When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Start Up Life // Elizabeth Chabot

10 november 2020 | 61 min

Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41

10 november 2020 | 60 min

Luigi in Production // MLOps Coffee Sessions #18 // Luigi Patruno ML in Production

9 november 2020 | 47 min

When Machine Learning meets Data Privacy

5 november 2020 | 19 min

Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17

3 november 2020 | 61 min

Hands-on serving models using KFserving // Theofilos Papapanagiotou // Data Science Architect at Prosus // MLOps Meetup #40

30 oktober 2020 | 58 min

Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // Customer Engineer at SAS // MLOps Meetup #39

27 oktober 2020 | 57 min

Machine in Production = Data Engineering + ML + Software Engineering // Satish Chandra Gupta // MLOps Coffee Sessions #16

26 oktober 2020 | 57 min

MLOps + Machine Learning // James Sutton // MLOps Coffee Sessions #15

20 oktober 2020 | 62 min

Scalable Python for Everyone, Everywhere // Matthew Rocklin // MLOps Meetup #38

19 oktober 2020 | 57 min

MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova

18 oktober 2020 | 61 min

MLOps Coffee Sessions #14 Conversation with the Creators of Dask // Hugo Bowne-Anderson and Matthew Rocklin

12 oktober 2020 | 57 min

MLOps Coffee Sessions #12: Journey of Flyte at Lyft and Through Open-source // Ketan Umare

10 oktober 2020 | 65 min

MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3

4 oktober 2020 | 66 min

MLOps Meetup #36: Moving Deep Learning from Research to Prod Using DeterminedAI and Kubeflow // David Hershey, DeterminedAI

4 oktober 2020 | 56 min

MLOps Coffee Sessions #10 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning" // Part 2

22 september 2020 | 68 min

MLOps Meetup #34: Streaming Machine Learning with Apache Kafka and Tiered Storage // Kai Waehner, Confluent

17 september 2020 | 53 min

MLOps Meetup #33 Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads // David Aronchick - Head of Open Source ML Strategy at Azure

14 september 2020 | 56 min

MLOps Coffee Sessions #9 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning “ // Part 1

14 september 2020 | 59 min

MLOps Meetup #32 Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Founder of Model Zoo

8 september 2020 | 53 min

MLOps Coffee Sessions #8 // MLOps from the Perspective of an SRE // Neeran Gul

8 september 2020 | 58 min

MLOps Meetup #31 // Creating Beautiful Ambient Music with Google Brain’s Music Transformer // Daniel Jeffries - Chief Technology Evangelist at Pachyderm

5 september 2020 | 56 min

MLOps Coffee Sessions #7 // MLOps and DevOps - Parallels and Deviations // Featuring Damian Brady

31 augusti 2020 | 56 min

MLOps Meetup #30 // Path to Production and Monetizing Machine Learning // Vin Vashishta - Data Scientist | Strategist | Speaker & Author

20 augusti 2020 | 57 min

MLOps Meetup #29 // Scaling Machine Learning Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet

10 augusti 2020 | 63 min

MLOps Coffee Sessions #6 // Continuous Integration for ML // Featuring Elle O'Brien

8 augusti 2020 | 62 min

MLOps Coffee Sessions #5 // Airflow in MLOps // Featuring Simon Darr and Byron Allen

4 augusti 2020 | 54 min

MLOps #28 Continuous Evaluation & Model Experimentation // Danny Ma - Founder & CEO at Sydney Data Science

26 juli 2020 | 61 min

MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling

25 juli 2020 | 63 min

MLOps #27 ML Observability // Aparna Dhinakaran - Chief Product Officer at Arize AI

24 juli 2020 | 55 min

MLOps Meetup #26 // How to Leverage ML Tooling Ecosystem // Mariya Davydova - Head of Product at Neu.ro

20 juli 2020 | 56 min

MLOps Coffee Sessions #3 MLOps: Isn't That Just DevOps? // Featuring Ryan Dawson

16 juli 2020 | 67 min

MLOps Meetup #25 // Python and Dask: Scaling the DataFrame // Dan Gerlanc - Founder of Enplus Advisors

12 juli 2020 | 89 min

MLOps Meetup #23 // Monitoring the ML stack // Lina Weichbrodt

11 juli 2020 | 56 min

MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev

10 juli 2020 | 61 min

MLOps #22 Feature Stores: An Essential Part of the ML Stack to Build Great Data // Kevin Stumpf - Co-Founder & CTO at Tecton

4 juli 2020 | 66 min

MLOps Meetup #21 Deep Dive on Paperspace Tooling // Misha Kutsovsky - Senior ML Architect at Paperspace

28 juni 2020 | 67 min

MLOps Meetup #18 // Nubank - Running a Fintech on ML // Caique Lima and Cristiano Breuel

21 juni 2020 | 54 min

MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov

19 juni 2020 | 62 min

MLOps Coffee Sessions #1: Serving Models with Kubeflow

13 juni 2020 | 50 min

MLOps Meetup #17 // The Challenges of ML Operations & How Hermione Helps Along the Way // Neylson Crepalde

11 juni 2020 | 61 min

MLOps Meetup #16 // Venture Capital and Machine Learning Startups with John Spindler

6 juni 2020 | 57 min

MLOps Meetup #15 Scaling Human-in-the-Loop Machine Learning with Robert Munro

4 juni 2020 | 55 min

MLOps #14 Kubeflow vs MLflow with Byron Allen

28 maj 2020 | 55 min

MLOps meetup #13 // Maximizing Job Opportunities as a Data Scientist on the Market With Anthony Kelly

27 maj 2020 | 58 min

MLOps meetup #12 // Why Data Scientists Should Know Data Engineering with Dan Sullivan

21 maj 2020 | 60 min

MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre

16 maj 2020 | 59 min

MLOps.community meetup #9 with Charles Martin - 10 Years Deploying Machine Learning in the Enterprise: The Inside Scoop!

14 maj 2020 | 63 min

MLOps.community #10 - MLOps - The Blind Men and the Elephant with Saurav Chakravorty

8 maj 2020 | 55 min

MLOps.community meetup #8: Optimizing your ML workflow with Kubeflow 1.0 with Josh Bottom VP of Arrikto

1 maj 2020 | 64 min

MLOps meetup #7- Machine Learning and Open Banking with Alex Spanos of TrueLayer

24 april 2020 | 57 min

MLOps.community #6 - Mid Scale Production Feature Engineering with Dr. Venkata Pingali

16 april 2020 | 59 min

MLOps.community #5 - High Stakes ML: Latent Conditions and Active Failures with Flavio Clesio

15 april 2020 | 55 min

MLOps.community #4 - Building an ML platform @SurveyMonkey with Shubhi Jain

10 april 2020 | 58 min

Hierarchy of Machine Learning Needs // Phil Winder // MLOps Meetup #3

3 april 2020 | 57 min

What Does Best in Class AI/ML Governance Look Like in Financial Services? // Charles Radclyffe // MLOps Meetup #2

26 mars 2020 | 62 min

Our 1st MLOps Meetup // Luke Marsden // MLOps Meetup #1

23 mars 2020 | 34 min

MLOps.community

Avsnitt

LinkedIn Recommender System Predictive ML vs LLMs

GPU Considerations, Labeling Privacy, Rapid Fine Tuning, and the Role of Private Eval Pipelines to Benchmark New Models

The Hidden Bottlenecks Slowing Down AI Agents

9 Commandments for Building AI Agents

Enterprise AI Adoption Challenges

Real-time Feature Generation at Lyft // Rakesh Kumar // #334

AI Agent Development Tradeoffs You NEED to Know

From the Legal Trenches to Tech // Nick Coleman // #332

The Rise of Sovereign AI and Global AI Innovation in a World of US Protectionism // Frank Meehan // MLOps Podcast #331

A New Way of Building with AI

Inside Uber’s AI Revolution - Everything about how they use AI/ML

The Missing Data Stack for Physical AI

AI Reliability, Spark, Observability, SLAs and Starting an AI Infra Company

Greg Kamradt: Benchmarking Intelligence | ARC Prize

Bridging the Gap Between AI and Business Data // Deepti Srivastava // #325

The Creator of FastAPI’s Next Chapter // Sebastián Ramírez // #324

Everything Hard About Building AI Agents Today

Tricks to Fine Tuning // Prithviraj Ammanabrolu // #318

Packaging MLOps Tech Neatly for Engineers and Non-engineers // Jukka Remes // #322

Hard Learned Lessons from Over a Decade in AI

Product Metrics are LLM Evals // Raza Habib CEO of Humanloop // #320

Getting AI Apps Past the Demo // Vaibhav Gupta // #319

Building Out GPU Clouds // Mohan Atreya // #317

A Candid Conversation Around MCP and A2A // Rahul Parundekar and Sam Partee // #316 SF Live

AI in M&A: Building, Buying, and the Future of Dealmaking // Kison Patel // #315

AI, Marketing, and Human Decision Making // Fausto Albers // #313

MLOps with Databricks // Maria Vechtomova // #314

Making AI Reliable is the Greatest Challenge of the 2020s // Alon Bochman // #312

Behavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // Devansh Devansh // #311

GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // Paco Nathan & Weidong Yang // #310

AI Data Engineers - Data Engineering After AI // Vikram Chennai // #309

I Am Once Again Asking "What is MLOps?" // Oleksandr Stasyk // #308

How Sama is Improving ML Models to Make AVs Safer // Duncan Curtis // #307

Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // Luca Fiaschi // #306

Real-Time Forecasting Faceoff: Time Series vs. DNNs // Josh Xi // #305

We're All Finetuning Incorrectly // Tanmay Chopra // #304

From Shiny to Strategic: The Maturation of AI Across Industries // David Cox // #303

Streaming Ecosystem Complexities and Cost Management // Rohit Agrawal // #302

Fraud Detection in the AI Era // Rafael Sandroni // #301

Beyond the Matrix: AI and the Future of Human Creativity

Efficient GPU infrastructure at LinkedIn // Animesh Singh // MLOps Podcast #299

Building Trust Through Technology: Responsible AI in Practice // Allegra Guinan // #298

Claude Plays Pokémon - A Conversation with the Creator // David Hershey // #294

From Rules to Reasoning Engines // George Mathew // #296

GenAI Traffic: Why API Infrastructure Must Evolve... Again // Erica Hughberg // #296

The Unbearable Lightness of Data // Rohit Krishnan // #295

Kubernetes, AI Gateways, and the Future of MLOps // Alexa Griffith // #294

Future of Software, Agents in the Enterprise, and Inception Stage Company Building // Eliot Durbin // #293

The Agent Exchange: Practitioner Insights

Talk to Your Data: The SQL Data Analyst

Getting to Grips with Web Agents

The Challenge with Voice Agents

The Agent Landscape - Lessons Learned Putting Agents Into Production

Evolving Workflow Orchestration // Alex Milowski // #291

Insights from Cleric: Building an Autonomous AI SRE // Willem Pienaar // #290

Robustness, Detectability, and Data Privacy in AI // Vinu Sankar Sadasivan // #289

AI & Aliens: New Eyes on Ancient Questions // Richard Cloete // #288

Real LLM Success Stories: How They Actually Work // Alex Strick van Linschoten // #287

Navigating Machine Learning Careers: Insights from Meta to Consulting // Ilya Reznik // #286

Collective Memory for AI on Decentralized Knowledge Graph // Tomaž Levak // #285

Efficient Deployment of Models at the Edge // Krishna Sridhar // #284

Real World AI Agent Stories // Zach Wallace // #283

Machine Learning, AI Agents, and Autonomy // Egor Kraev // #282

Re-Platforming Your Tech Stack // Michelle Marie Conway & Andrew Baker // #281

Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280

Unleashing Unconstrained News Knowledge Graphs to Combat Misinformation // Robert Caulk // #279

LLM Distillation and Compression // Guanhua Wang // #278

AI's Next Frontier // Aditya Naganath // #277

PyTorch for Control Systems and Decision Making // Vincent Moens // #276

AI-Driven Code: Navigating Due Diligence & Transparency in MLOps // Matt van Itallie // #275

PyTorch's Combined Effort in Large Model Optimization // Michael Gschwind // #274

LLMs to agents: The Beauty & Perils of Investing in GenAI // VC Panel // Agents in Production

We Can All Be AI Engineers and We Can Do It with Open Source Models // Luke Marsden // #273

Exploring AI Agents: Voice, Visuals, and Versatility // Panel // Agents in Production

The Impact of UX Research in the AI Space // Lauren Kaplan // #272

EU AI Act - Navigating New Legislation // Petar Tsankov // MLOps Podcast #271

Boosting LLM/RAG Workflows & Scheduling w/ Composable Memory and Checkpointing // Bernie Wu // #270

How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269