Session

Harnessing the Power of Multi-Agent Systems: Transforming Enterprise Insights with Fabric & AutoGen

We present Data Agent, a multi-agent real-world business analytics platform built on top of the next generation of AutoGen and Microsoft Fabric, the data intelligence platform for the AI era. We will share best practices and insights we have gained to empower enterprise insights with agentic services. By leveraging AutoGenNext's foundational design using the actor pattern, it serves as an ideal solution for data pipeline orchestration and data-driven decision-making through multi-agent team collaboration. Additionally, AutoGen's tooling and short-term memory, combined with Fabric's OneLake data lakehouse GraphQL API, enable seamless integration of enterprise data into agentic decision-making, providing flexibility for complex enterprise data insight tasks.

George Hu

Architect, Data & AI, Microsoft

Seattle, Washington, United States

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