How Zeta Global Powers AI Agents With Snowflake AI Data Cloud

Discover how Zeta Global unified fragmented operational and analytics stacks into one data lakehouse on Snowflake, covering 80% of its query surface with a single source of truth. Chief Architect Manoj Agarwal explains how catalog-linked databases connecting Snowflake to the Iceberg catalog let AWS manage data compaction and replication through S3 Tables while Snowflake handles elastic compute, cutting storage from multiple copies to one. Analytics, machine learning, and Trino teams now all read the same data set. On top of that foundation, Zeta built Athena, an AI marketing agent that runs thousands of campaigns in minutes, grounding every agent in the same consistent data as the rest of the platform. The result: data and applications finally converge on one lakehouse. ❄Join our YouTube community❄ https://bit.ly/3lzfeeB Learn more about Snowflake: ➡️ Website: https://www.snowflake.com ➡️ Careers: http://careers.snowflake.com ➡️ Podcast page: https://www.snowflake.com/thedatacloudpodcast/ ➡️ Twitter: https://twitter.com/Snowflake ➡️ Instagram: https://www.instagram.com/_snowflake_inc ➡️ Facebook: https://www.facebook.com/snowflakedb ➡️ LinkedIn: https://bit.ly/2QUexl4 ➡️ Sign up for our weekly live demo program and have your questions answered by a Snowflake expert at https://bit.ly/2TdVCmJ Listen on: 🔈 Apple Podcasts: https://apple.co/3cCdrCU 🔈 Spotify: https://spoti.fi/39vCNjH 🔈 Simplecast: https://bit.ly/3rFCrgA #Snowflake #AIDataCloud #AI #GenAI #ArtificialIntelligence