Microsoft recently introduced Fabric IQ as a new way to work with data by bringing analytics, AI, governance, and business context together in one connected platform. Just as Vegeta in Dragon Ball Z S1E28 was impressed by Goku's power level exceeding 9000, many of us were excited to discover Fabric IQ and how this could be the key to GenBI in a Fabric environment. I am happy to share my experiences with you.

In this introductory session, we will explore what Fabric IQ is, how it connects the Microsoft Fabric ecosystem, and how it helps organizations make data more accessible, understandable, and usable in practice.

Next, we will take a closer look at the similarities and differences between Semantic Models and Ontologies. Today, there is still quite some confusion around how these concepts relate to each other, where they overlap, and when you would use one over the other. We will compare both approaches in terms of purpose, strengths, and their role in a modern data platform, to better understand how they can coexist and complement each other.

Finally, we will look at the role of Fabric Data Agents and how they can be built on top of both Semantic Models and Ontologies. Through a demo, I will show how these agents can be implemented, what to keep in mind when designing them, and some practical best practices. We will also discuss briefly how Fabric Data Agents can fit into the broader governance story when considering the Fabric Adoption Roadmap.

Will we be impressed by Fabric IQ's power level? And, more importantly, will we be able to impress Vegeta and avoid having to collect the Dragon Balls yet again to save the world? Find out in this episode (I mean session), inspired by Dragon Ball Z.