James Cha-Earley

Media and entertainment, marketing and social teams need deeper insight into how audiences engage with video. Snowflake Cortex AI Video Processing enables hook-strength prediction, live-event retention analysis and ad-break optimization, helping organizations reduce drop-off, improve message impact and make smarter content decisions directly in the Snowflake AI Data Cloud.

AI is transforming what (and how) you build on Snowflake. From designing self-serve intelligence and architecting AI-ready data infrastructure to shipping production agents, builders are at the center of the biggest shift in data since the cloud. Through demos and customer stories, we'll learn how data practitioners are adapting and delivering more impact than ever before. Seating is available on a first-come, first-served basis. Once the main room reaches capacity, overflow viewing areas will be available.

Build a Cortex Agent using Snowflake CoCo in the Snowsight interface. You'll configure the agent with Snowflake Cortex Analyst for structured data querying and Snowflake Cortex Search for document Q&A, web search, a custom tool and more — creating an agent that answers questions across both structured and unstructured sources.

In this lab, you'll build a model to predict purchase likelihood by analyzing relationships between performance metrics, product differentiation and customer reviews. This lab will guide you through the following: 1) Use generative AI to process feedback (sentiment analysis, review quality, retailer interactions), 2) aggregate unstructured features with structured web analytics features (performance metrics, user interactions, reviews), 3) train custom models, 4) analyze feature importance (technical performance, product quality, customer experience), and 5) create stakeholder visualization. By the end, you’ll know best practices for predicting purchasing likelihood at your company.