AI Data Stack in Action: An OSS Advantage with AWS

​Join us for an immersive session at the San Francisco AWS Loft where Snowflake Developer Advocate, James Cha-Earley, will reveal cutting-edge techniques to transform your AWS S3 data repositories into actionable insights using Snowflake Cortex LLMs and Apache Iceberg tables.

​This session is for data engineers and practitioners looking to level up their AI data stack with real-world, scalable LLM capabilities. 

​You’ll explore how to:

• ​Automate classification and entity extraction directly within your data workflows

• ​Generate natural language insights from complex trends and anomalies

• ​Build responsive, conversational interfaces on top of your warehouse

• ​Apply AI-powered data quality checks at scale

• ​Use multiple LLMs with Iceberg tables for high-performance querying across large datasets

​All attendees are welcome. Light refreshments will be provided, creating the perfect environment to network with peers and experts alike.

​Please register here and bring a valid photo ID upon arrival.

​Speakers: James Cha-Earley