Joe DosSantos

Workday has been on a journey to leverage Snowflake Cortex to build next generation AI companions. As most practitioners have learned, while AI is terrific at synthesizing unstructured data, it often can be disappointing in interpreting even the best structured data products. This session will outline Workday’s journey leveraging semantics and context layers to improve the overall accuracy and business adoption of AI companions across business functions within the organization.

Most enterprise AI projects stall before production — not because Snowflake CoWork or Cortex Agents aren't powerful, but because agents don't know which "revenue" definition to use, which tables to trust, or what the business actually means. The gap between pilot and production isn't a model problem. It's a context problem. Workday is closing it and they're here to show you how. Join Prukalpa Sankar of Atlan and Joe DosSantos, CDO at Workday, to learn what the Enterprise Context Layer is and why production AI needs it, how Workday's shared language — built for people — is now being leveraged for AI via Atlan's MCP, and what it takes to go from cool demo to AI trusted at scale.

Workday helps more than 11,000 organizations, including 60% of the Fortune 500, manage their most important assets — their people and their money. The key to Workday’s success lies in ensuring their more than 20,000 global employees are comfortable with and capable of using data to inform their decisions and work. Join Joe DosSantos, Chief Data Officer at Workday, and Prukalpa Sankar, Co-Founder of Atlan, to learn what it takes to build AI companions and marketplaces that expand the definition of who can use data, carefully governing and building data products with Snowflake and Atlan, and delivering the rich context necessary for accurate, trustworthy insights with AI.