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Databricks argues AI needs a unified context layer, not smarter models

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Databricks says AI's core limitation is missing business context, not intelligence, because data is scattered across dashboards, documents, tickets, and chats. The company promotes a unified context layer and its Genie Ontology approach, with a product demo in an on-demand webinar.

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AI doesn’t have an intelligence problem. It has a context problem.

When business context is scattered across dashboards, documents, tickets and chats, users struggle to get fast, trusted answers and data teams stay stuck fielding ad hoc requests.

See what it takes to close that gap with a unified context layer that helps AI deliver trusted answers, act autonomously and give teams back time. Go under the hood of Genie Ontology and see the approach in action with a product demo.

Watch on-demand: https://www.databricks.com/resources/webinar/closing-the-ai-context-gap?utm_source=twitter&utm_medium=organic-social&utm_scid=701Vp000013pWEvIAM

Source: Databricks · x.comPublished · added here