From Data Chaos to Unifying Data, Business Logic and Decisions

For years, the "semantic layer" has been the bottleneck of the modern data stack. Data teams are drowning in manual modeling, brittle SQL joins and the constant struggle to ensure "revenue" means the same thing in every dashboard.

Snowflake and RelationalAI are teaming up to demonstrate how data teams can build decision-aware agents that reason over business rules, relationships and constraints across the full data model. You’ll see how users can create semantic views, relational knowledge graphs and AI-powered reasoning to enable new use cases across supply chain, finance and operations, all without moving data.

Learn more about the following: 

• Go from data to decisions, natively in Snowflake
  See how Snowflake Intelligence and RelationalAI work together to deliver governed, explainable, enterprise-grade decision intelligence, without moving data.
  

• Move from semantic views to conversational analytics
  Learn how Semantic View Autopilot automatically creates governed semantic views, which power natural-language analytics and AI agents over trusted enterprise data.
  

• Go beyond BI to decision intelligence
  Understand how semantics allow organizations to move from descriptive insights (“what happened”) to predictive and prescriptive decisions (“what will happen” and “what should we do”).
  

• Deploy advanced reasoning with business context
  Explore how RelationalAI adds knowledge graphs, business rules and reasoning to enable decision-aware agents across real-world use cases in supply chain, finance and operations.

Who should attend?

• Data engineers and builders looking to shift from manual query building to maintaining a central, automated semantic layer.

• Data analysts and scientists who want to enable self-service at scale and focus on complex strategic modeling.

• Business leaders and executives seeking to accelerate decision-making and increased business impact across the organization.