Data analysts, data scientists and data engineers often struggle to find and share relevant data and insights, especially when data is sensitive and cannot be readily shared. The issue is further exacerbated when an organization’s data assets are spread across multiple catalogs and engines. Join this session to learn how the latest product innovations in Snowflake Horizon and privacy-preserving collaboration allow data teams to quickly find and share data, apps and models, both within and outside their organizations, specifically when sensitive data is involved.