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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 practioners 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-performace querying across large datasets.

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

Speakers: James Cha-Early

Events in San Francisco, CA
Artificial Intelligence
Artificial Intelligence Applications
Machine Learning
Open Source Python
Python Web Development

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