Enterprise AI success hinges on integrating data, intelligence, and business applications. This session explores how Fabric Data Agents function as a unified knowledge layer connecting Microsoft’s AI ecosystem, enabling sophisticated multi-agent architectures across Fabric, Copilot Studio, Azure AI Foundry, and core applications.
We will demonstrate enterprise integration patterns, architectural design principles, and production strategies for building secure, scalable, and governable agent systems.
Key topics include where Fabric Data Agents fit in the modern data-to-intelligence stack, design principles for scalable architectures, and integration patterns with Copilot Studio and M365 Copilot. The presentation will cover critical aspects of production deployment: security models, governance frameworks, compliance, deployment architecture, and cost management. This provides a complete view of how to implement robust enterprise-grade agent systems.
- Learning Objective 1: Design enterprise agent architectures that integrate Fabric Data Agents with Copilot Studio and Azure AI Foundry
- Learning Objective 2: Implement security and governance frameworks that span multiple agent systems
- Learning Objective 3: Apply integration patterns for connecting data agents with business applications and workflows
Terms: All rights reserved by the speaker, AI Agent & Copilot Summit NA, and Dynamic Communities and cannot be reproduced or distributed without express written consent by the speaker and Dynamic Communities.
Speakers
Awais Aslam Practice Manager, Data Engineering & Advanced Analytics, AlphaBOLD
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