Farzad Sunavala
Principal Program Manager, Azure AI Search - Microsoft
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Farzad is a Principal Product Manager at Microsoft, leading Retrieval-Augmented Generation (RAG) capabilities on Azure AI Search. He is dedicated to empowering individuals and organizations to create innovative tech experiences. Before Microsoft, Farzad held various engineering and product management roles at Chevron Corporation. He holds a B.S. in Petroleum Engineering from Louisiana State University, with minors in Computer Science and Technical Sales, and an M.Eng. in Engineering Management from Cornell University.
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Unifying Data & AI: Enterprise RAG Architecture with Fabric & Azure AI Search
Discover how to architect production-grade Retrieval-Augmented Generation (RAG) solutions by combining Azure AI Search's vector capabilities with Microsoft Fabric's unified data platform. This session explores proven patterns and best practices for building enterprise-scale AI applications that deliver real business impact.
We'll dive into:
Architectural patterns for RAG using Fabric OneLake and Azure AI Search
Vector search strategies for optimal retrieval performance
Integration approaches with Azure AI Studio and popular frameworks
Real-world examples of successful enterprise implementations
Key considerations for security, scale, and governance
Learn how leading organizations are leveraging these technologies to transform their data into intelligent, contextually-aware AI solutions. Whether you're planning your first RAG implementation or scaling existing solutions, you'll gain valuable insights into building robust, production-ready systems.
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