Joel McKelvey

Modern enterprises need both the “what” from governed metrics and the “why” from surrounding context. We’ll show how customers use Glean Assitant and Glean Agents with Databricks AI/BI Genie and SQL actions to turn natural‑language questions into live warehouse queries that any employee can run. A single agent can route a prompt to Genie, execute the generated SQL on Databricks, then combine resulting tables with unstructured context from email, docs, tickets, and Wikis in one answer, all while respecting app‑level permissions. Attendees will leave with concrete architecture and prompt patterns they can use to scale self‑serve analytics without adding more load on data teams. Audience takeaways: - Pattern for building Databricks-powered agents that run live, governed queries without extra indexing - Examples of combining Databricks results with unstructured work knowledge to deliver a complete story - Practical guidance on permissions, debugging Genie output, and tuning Genie spaces for enterprise copilots