Riccardo Muti

Agentic AI can turn data into action, but only if it can find the right data and understand it. That's a challenge since most enterprise data isn’t sufficiently self-describing. In this session, we’ll define what AI-ready data looks like and show how Horizon Catalog provides the critical context layer that helps AI know your data. Horizon Catalog delivers quality-aware context directly to AI agents — so they don’t just access data, they understand it. It also catalogs data from external systems, captures end-to-end lineage and usage patterns, and automates documentation and semantic modeling. Join us to see how a strong metadata foundation enables AI that’s more accurate and trustworthy.

Virtually every organization’s data is underutilized, in large part because it’s still hard for users to discover relevant data assets. They don’t have good search tools, need to look in different silos, can’t see what they don’t yet have access to, don’t know which assets are the right ones to use, can’t decipher unfamiliar assets, and don’t know who to ask. In this session, you’ll see how Horizon Catalog helps address these issues. Learn about how to use Universal Search, extend search to Iceberg data, “SEO” your metadata, reduce manual metadata management, make metadata discoverable while protecting sensitive data, and curate an internal marketplace of data products.

Learn how to drive collaboration acorss your buisness ecosytem with the latest from Snowflake Horizon Catalog, including External Data Discovery, to effortlessly find data both within Snowflake and from external systems. See demos of the latest Internal Marketplace updates, including Organization Profiles and Request for Access, to streamline and accelerate the sharing of data, apps, and AI. Finally, learn how Iceberg Data Sharing and the Egress Cost Optimizer can increase interoperability and data availability while keeping your data sharing costs down.