Join the JPMorgan Chase Wealth Management RegTech team as they showcase their innovative use of Snowflake to integrate data, analytics and AI into a unified platform for all lines of defense, including controls, risk and compliance. Discover their plans to leverage LLM capabilities through Cortex AI to deliver cutting-edge risk and regulatory insights.

Learn best practices that enhance efficiency by 50%, strengthen compliance, mitigate risks and achieve substantial cost savings. Gain valuable insights into proactive risk management and staying ahead of industry trends and challenges. Don't miss this opportunity to explore the future of data-driven compliance and control.

To gain trust in Generative AI applications, a robust observability framework is needed. In this session, we will demonstrate how users can instrument an AI application with Trulens, an open source observability framework, to trace each component of their application and use LLM-as-a-Judge evaluations to identify and improve points of failure. Attendees will learn about best practices in enabling observability in their AI workflows and common feedback functions used for evaluation. We will also explore using the observability framework as a mechanism to compare application versions to determine which version is best fit for production use.

Unlock the full potential of generative AI in Snowflake with hands-on prompt engineering! In this live demo, we'll build and refine prompts from scratch, showcasing how to harness LLM-powered features like Cortex Analyst, Document AI and Cortex functions. Attendees will see real-time development, practical use cases and best practices to get the most out of Snowflake’s AI capabilities — whether for extracting insights, automating workflows or enhancing data pipelines with AI-driven intelligence.