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Discover how to build effective AI agents for specialized applications by establishing the right data foundation in this 39-minute conference talk from Databricks. Learn proven approaches for preparing and structuring diverse information assets to enable more powerful, efficient domain-specific AI applications. Explore techniques for extracting value from both structured and unstructured data sources, creating robust knowledge bases that serve as the backbone for specialized agents, and implementing optimization strategies that balance quality with resource constraints. Master practical methods for preparing data for AI consumption and knowledge extraction, building scalable data foundations that naturally facilitate agent development, and optimizing domain-specific agents for performance and cost efficiency. Gain insights into implementing governance frameworks for AI systems built on your organizational data, presented by Archika Dogra, Product Manager at Databricks, and Jun Choi, Staff Software Engineer at Databricks.
