AI is only as good as the data it can find, understand and trust. This session covers practical ways labs and departments can organize, describe and govern research data to get the most out of AI while keeping science rigorous and reproducible. Topics include:

Applying FAIR principles to AI workflows
- Metadata, cataloging and classification, including PHI and other sensitive data
- Handling genomics, imaging and clinical text together
- Governance that makes collaboration easier, not harder
- What makes data "AI-ready": semantic layers, retrieval-augmented generation (RAG) and agents
- Concrete next steps for your lab or department
- Half the session is open discussion, so bring your data challenges.

John Coe is a senior account executive from Snowflake. Snowflake is the AI Data Cloud, a platform that helps organizations store, govern, share and analyze all kinds of data in one place. That includes structured tables, genomics files, images and documents. Research institutions, health systems and life sciences companies use Snowflake to collaborate securely across teams and partners, protect sensitive data, and bring AI to their data without moving it. Learn more at snowflake.com.