From Space to Scale: What to Do (and not do) for Secure, Fast, Production AI/BI

Learn the essential, Databricks AI FDE -tested playbook for deploying production Genie. Start by scoping topic-focused Spaces that leverage Unity Catalog and knowledge-store metadata along with parameterized example SQL rather than free-text queries. This approach drives both clarity and speed. Before scaling out, establish pragmatic, business-centric benchmarks using trusted assets and value dictionaries to measure what truly matters. Integrate Genie into multi-agent workflows through the Conversation API, Teams, and the integration into Databricks’ Agent Framework. Operationalize at scale with pre-joined and trimmed tables, audit-driven monitoring, and a lightweight review cadence.We'll share proven do's and don'ts, common pitfalls to avoid, and a reusable checklist to accelerate your time-to-value, all grounded in Unity Catalog metadata and real-world enterprise deployments.