Discover how to turn fragmented enterprise knowledge into a reliable AI assistant that delivers answers people can trust. We will explore practical RAG architecture patterns, Azure AI Search, document ingestion and processing, and the best practices that make knowledge retrieval accurate, secure, and scalable.

The session will also cover the human side of AI: training and improving the solution through Human-in-the-Loop collaboration, as well as a structured feedback-triage process that converts real user feedback into measurable product improvements.

Built on real production experience across healthcare, construction, professional services, education, and hospitality, this talk offers a practical view of what it takes to move RAG from an exciting prototype to an AI solution that creates everyday business value.