AI is only as good as the data model behind it.
In Microsoft Fabric, the semantic model is no longer just a reporting layer: it’s the brain of your Data Agent.

In this session, we’ll show how generated, well structured semantic models become the key enabler for powerful, reliable Data Agents. You’ll see how automating semantic model generation creates the consistency, metadata richness, and governance that agents need to reason correctly, answer business questions, and scale across use cases.

From there, we’ll move into Data Agent API creation, demonstrating how semantic models are exposed as intelligent, reusable interfaces for AI-driven insights. Finally, we’ll elevate the story with Fabric IQ, showing how adding clear instructions and intent dramatically improves agent behavior, trust, and business value.

Model smarter, so your agents can work harder.

What you’ll see:
Semantic models at scale: why generated models are crucial for reliable Data Agents
Fabric IQ in action: guiding agents with context for better answers

A full demo:
From generated semantic model to an API deployed Data Agent.
You'll see why With Fabric IQ will gain you business insights!

Key takeaways
Why semantic models are foundational for trustworthy AI
How metadata quality drives agent intelligence
How Fabric IQ turns AI from “working” into “valuable”
How to scale AI‑driven analytics with consistency

Audience & prerequisites
For Data & Analytics professionals and architects building AI‑ready platforms.
Basic knowledge of Semantic Models, DAX, and Microsoft Fabric assumed.