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From Data to Intelligence: How Fabric IQ Powers AI Agents
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From Data to Intelligence: How Fabric IQ Powers AI Agents

10 March Online

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Data Engineers in Toronto March 2026 Monthly Meeting

Topic: From Data to Intelligence: How Fabric IQ Powers AI Agents

Abstract:
AI agents can help automation and insight - but without business context, they often fail. Enter Microsoft Fabric IQ, a new semantic intelligence layer that transforms Fabric from a data platform into an intelligence platform.

Fabric IQ organizes enterprise data around business concepts, not tables, creating a shared ontology of entities, relationships, and rules linked to real-time data in OneLake. This enables AI agents to reason, interpret, and act with accuracy, eliminating the semantic fragmentation that causes unreliable decisions.

In this session, we’ll:
- Explain what Fabric IQ is and why it matters for AI adoption.
- Show how its semantic layer powers agentic AI with examples.
- Demo how an AI agent uses Fabric IQ to answer complex business questions.

If you’re exploring AI agents or building intelligent apps, this session will show you how Fabric IQ provides the semantic foundation for trustworthy, context-aware automation.

Speaker: Alexander Turlov, Principal Consultant at Alta Computing Inc.

Speaker Profile:
Alexander Turlov is a professional consultant, specializing in cloud data architecture and Microsoft Fabric solutions. He helps organizations design scalable data platforms and integrate modern tools like GitHub Copilot and VS Code to accelerate development workflows.

Alexander is a certified Microsoft Fabric Data Engineer and an active community contributor, sharing practical insights through presentations and workshops on AI-assisted data engineering and analytics.

The meeting is over Microsoft Teams, and the joining link is https://teams.microsoft.com/l/meetup-join/19%3ameeting_NzZkYWIyOTAtODk1MC00MjVmLWJlNjUtNTRiODZmODA2Zjdh%40thread.v2/0?context=%7b%22Tid%22%3a%22bd9727e8-f539-4c76-983c-6c30130c0bee%22%2c%22Oid%22%3a%229e8d5a64-e773-4ca2-90f6-9a266129171e%22%7d

See you at the meeting!

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