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Dive deep into the technical architecture powering Databricks' AI/BI Genie in this 34-minute conference talk that goes beyond the user interface to reveal the sophisticated technology stack underneath. Explore how large language models (LLMs), retrieval-augmented generation (RAG), and finely tuned knowledge bases collaborate to deliver fast and accurate responses to business intelligence queries. Learn about the role of AI agents in orchestrating workflows, optimizing query performance, and continuously refining their understanding of data and user intent. Discover the engineering principles and design decisions that enable Genie to democratize analytics by making complex data accessible through natural language interactions. Presented by Alnur Ali, Software Engineer at Databricks, and Amir Hormati, Director of Engineering at Databricks, this technical deep-dive is perfect for engineers, data scientists, and technology enthusiasts who want to understand the intricate mechanisms behind generative AI-powered business intelligence tools and how they transform traditional data analysis workflows.
