Tianxia Jia

Discover how Chime leverages Snowflake Cortex AI to transform unstructured call transcripts into actionable insights that predict and reduce customer churn. This session explores how Chime built a scalable AI pipeline within the Snowflake Data Cloud to process voice data, extract sentiment and behavioral signals, and integrate churn predictions into customer engagement workflows — all while maintaining security, governance and performance.

Discover how Snowflake’s ontology-driven architecture unifies data, semantics and AI. This session explores how to model real-world knowledge directly on Snowflake using metadata, inference rules and ontology layers — then reason over it with Snowflake Cortex Analyst and Snowflake CoWork. See how consistent semantics enable context-aware analytics, natural language reasoning and a foundation for truly intelligent data applications — all built natively on Snowflake.

Generative AI holds the potential to transform the energy industry. By engaging in human-like conversations with data, energy professionals can focus on more creative, high-value tasks and concern themselves less with data processing and transformation challenges.