Microsoft Reactor

AI projects rarely fail because of the model — they fail because the data foundation underneath is fragile: agents that relearn the business every time, metrics that contradict each other, and no clear lineage for how an answer was reached.

This session breaks down Fabric IQ, Microsoft’s semantic and ontology layer for enterprise data, in plain terms. We’ll cover how Semantic Models, Ontologies, and Agents work together to turn raw tables into governed, trusted business context — enabling natural language interaction, consistent definitions across teams, and explainable AI answers. Attendees will leave with a clear, jargon-free understanding of where Fabric IQ fits in the modern data and AI stack, and how to start experimenting with it.