How Genie Ontology Enhances AI Cowork | Databricks Genie One Demo
Databricks Genie uses ontology to resolve business context across multi-source enterprise data automatically
Databricks Genie PM demos how the platform's ontology layer enables an AI agent to answer complex product adoption questions by automatically resolving metric definitions and pulling context from disparate sources including the lakehouse, Google Docs, Jira, Slack, and GitHub. The ontology combines manually curated context with knowledge learned from notebooks, dashboards, and SQL queries, reducing the need for explicit user instruction. This is a product capability demo rather than a major announcement, with moderate relevance as it illustrates the enterprise agentic data workflow pattern gaining traction across the industry.