Many companies that experiment with agentic AI find it more challenging than they expect to deliver an industrial-proof, production application. That's partially because agentic AI currently is geared to leading-edge adopters who have the time and need to pursue novel AI-based applications. And partially because organizations haven't designed their data sets and models properly, making AI projects challenging. 

This session will give you a close-up view of how to build an agentic AI application that actually works. Carlos Bossy, a veteran data consultant, will step attendees through the process of creating an agentic AI application, including how to design a semantic layer, an orchestration layer, and validation steps. He will discuss the approach, tools, and models required to succeed with agentic AI. 

You Will Learn: 

-How to build an AI agentic application that doesn't hallucinate. 

-How to build a semantic layer for agentic AI. 

-How to build an orchestration layer and validation tests. 

-How to manage scalability and reliability. -What tools should you use.