Agentic AI in Production: What Data Leaders Need to Know Before Scaling AI

Agentic AI is everywhere. Production-ready AI is not.

In this episode, Kris Peeters talks with Dataminded Data Engineer Jesus Garcia about the gap between AI hype and enterprise reality.

Drawing on lessons from building a large-scale Agentic AI platform, they discuss security, governance, user adoption, change management, AI skills, and the future role of engineers in an AI-first world.

For data leaders, CIOs, CDOs and technology executives, this conversation provides practical insights into what it takes to deploy AI systems that people trust and actually use.

🌐 More at https://www.dataminded.com/

Topics covered: Agentic AI, Enterprise AI, RAG, AI Security, AI Governance, Change Management, Data Leadership, AI Adoption, Data Engineering.

Chapters:

00:00 Agentic AI in Production: Introduction

01:34 Enterprise Knowledge Management with AI Agents

05:19 RAG, Vector Search and Agentic AI Explained

07:36 Deploying Agentic AI at Enterprise Scale

12:14 AI Governance, Security and Access Control

17:06 What Data Leaders Can Learn from AI Security Incidents

25:34 Will AI Replace Software Engineers?

40:20 Why Coding Is Easier for AI Than Business Decisions

43:36 Real Productivity Gains from AI Skills and Automation

49:35 The Limits of Large Language Models

56:44 Change Management: The Real Challenge of AI Adoption