The AI context gap and how to solve it
Your AI assistants are great at handling generic tasks, but they miss the critical data context that defines your business.
Reconciling definitions, tracing why two dashboards disagree, translating business intent into something queryable — that takes knowledge generic AI doesn’t have.
The real bottleneck isn't intelligence. It's the enterprise context gap.
Databricks Genie is built to bridge that gap between data and context. It's a data-smart AI coworker, specialized for the data work that runs your business. Genie is grounded in your actual tables, governed centrally and curated by the analyst who knows the work best.
In this guide, you’ll learn:
- Why analysts are dealing with the context gap and what generic AI does and doesn't help with
- How Genie specializes for the work your team actually does
- What analysts own when they build with Genie — across three real customer stories
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Genie knows the context of the data that drives your business
