Ever struggled with getting AI to work effectively for your specific domain needs? Join us to discover how establishing the right data foundation transforms the way you build and deploy specialized AI agents. This session demonstrates how to prepare and structure your information assets to enable more powerful, efficient AI applications. Learn proven approaches for extracting value from both structured and unstructured data, creating knowledge bases that serve as the backbone for domain-specific agents, and implement optimization techniques that balance quality and resource constraints.Key takeaways: Preparing diverse data sources for AI consumption and knowledge extraction Building scalable data foundations that naturally facilitate agent development Optimizing domain-specific agents for performance and cost efficiency Implementing practical governance frameworks for AI systems built on your data
talk-data.com
J
Speaker
Jun Choi
1
talks
Staff Software Engineer
Databricks
Jun is a staff engineer on the machine learning platform team, leading product group within Agent Bricks specialized for creating agents that are used at high production volume.
Bio from: Data + AI Summit 2025
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