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
