Microsoft Fabric Data Agents can query your semantic models, but can they truly understand your business?

Traditional semantic models are excellent at organizing data for reporting and analytics. However, AI agents require more than dimensions, measures, and relationships. They need context, meaning, and a shared understanding of business concepts.

In this session, we'll explore how Semantic Models, Semantic Link Labs, and Ontologies can work together to create a true knowledge layer for Microsoft Fabric.
Through practical demonstrations, you'll see how business concepts can be captured in an ontology, transformed into semantic models, and used to provide Data Agents with the context they need to deliver more accurate and trustworthy answers.
We'll explore how ontologies add meaning, relationships, and business logic that go beyond traditional analytics models, helping agents reduce ambiguity and reason more effectively about your organization.
Rather than treating semantic models and ontologies as competing approaches, we'll show how they complement each other and together form the foundation of AI-ready data platforms.

Audience & prerequisites
Whether you're a Fabric architect, BI professional, data engineer, or AI enthusiast, You'll leave with practical patterns, architectural guidance, and techincal examples for using Semantic Models, Ontologies to empower data agents.

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

Key Takeaways
• Understand the roles of Semantic Models, Ontologies, and Semantic Link Labs.
• Learn how ontologies provide business context for AI and Data Agents.
• Discover how to generate and enrich semantic models from business knowledge, with metadata.
• See how Data Agents benefit from a knowledge-driven semantic layer.
• Learn practical patterns for building AI-ready Fabric solutions.
• Bridge business requirements and AI-powered analytics through a shared business language with ontologies.

Ontologies and semantic models together enable AI that truly understands your business.