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In this episode of Azure Decoded, our team breaks down what Fabric IQ unlocks: a shared semantic foundation that helps teams and AI reason over data. You’ll see a practical demo of how Fabric IQ unifies business semantics across data, models, and rules; then powers data agents that ground natural-language questions in consistent definitions of entities, relationships, and metrics for more trustworthy answers. We’ll also cover how these agents can be used inside and outside Fabric (including via Microsoft Foundry), so data engineers, developers, and AI devs can move faster from insight to action with less prompt wrangling.

What you’ll learn:
• How Fabric IQ creates a shared semantic foundation that unifies business entities, relationships, and metrics across data, models, and systems
• How to build and use Fabric IQ–powered data agents that ground natural‑language questions in business context and return more accurate, trustworthy insights across tabular, graph, and real‑time data.
• How to apply Fabric IQ in real-world developer workflows, including a live demo showing how data engineers and AI developers can move faster from data to decisions using Fabric, Foundry, and agent-ready architectures.

Who should attend: Developers, AI Developers, Data Engineers, solution architects, and technical professionals

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Understand Microsoft Fabric IQ fundamentals

📌 This session is a part of a series! Learn more here

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