Hi Jan,
There's a lot of confusion out there about what agentic AI actually is — and what it isn't.
Most people assume it's just a smarter chatbot. It's not.
Agentic AI systems can autonomously plan, reason, and take action — without waiting for humans to prompt every step. They break complex goals into sub-tasks, use tools to interact with real systems, and remember what they've already done.
The difference matters enormously when you're thinking about how to deploy AI across your data infrastructure.
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In our new book, Agentic AI For Dummies (Dremio Special Edition), author William Martin breaks down:
- Why LLMs alone aren't enough — and what turns them into true agents
- The role of the Model Context Protocol (MCP) in connecting AI to your data
- How retrieval-augmented generation (RAG) lets AI work with your live data
- What the real risks are — cascading errors, bias amplification, and security gaps
This is the kind of foundational clarity that helps your team make better decisions about where and how to apply agentic AI.
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Questions? Hit reply — we read every one.
Will Martin
Dremio
P.S. I’ll be covering the book in a webinar on April 16. Register here
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