Dillon Morrison

AI is making self-service data real, but it creates a new challenge: ensuring humans and AI interpret data the same way. When logic is fragmented across tools, inconsistencies emerge, trust erodes, and AI insights become unreliable. Databricks addresses this with a unified approach to semantics across BI and AI. UC Business Semantics provide governed definitions, AI/BI Dashboards add local semantics, and the Genie Knowledge Store adds domain context to improve how AI answers. Together, these layers enable consistent BI and accurate AI. We’ll cover best practices for designing and operationalizing semantics across Unity Catalog, dashboards, and Genie: - Define and manage UC Business Semantics for governed metrics and dimensions - Use Dashboard Semantic Models and Metric Views for report logic - Use Genie Knowledge Store to improve AI accuracy with domain context and SQL - Combine central semantics and local curation across BI and AI - Avoid common pitfalls in semantic modeling