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    Databricks says Genie One connects business data and context for enterprise AI

    The company says Genie One uses context from Genie Ontology to connect governed data, business definitions, documents, applications and operational systems in a shared view.

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    TLDR

    Databricks argues that the hard part of enterprise AI is getting answers that understand how a business works. It says Genie One uses shared context from Genie Ontology to help teams ask questions in tools they already use and get answers grounded in trusted data and business terms. The company says teams can also carry that context into follow-up work and turn recurring decisions into actions and agents.

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    2 Sources, first seen 18d ago

    Combined views

    3.6K

    2 Sources, first seen 18d ago

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    15 comments
    20 saves
    8 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @databricksThe hard part of enterprise AI isn’t getting an answer. It’s getting an answer that understands how your business actually works. Genie One uses unified context from Genie Ontology to connect governed data, business definitions, documents, applications, and operational systems into a shared view. That helps teams: • Ask questions in the tools they already use • Get answers grounded in trusted data and business terms • Carry that context into follow-up work • Turn recurring decisions into actions and agents See how it works: https://www.databricks.com/blog/unified-context-missing-layer-enterprise-ai-coworkers?utm_source=twitter&utm_medium=organic-social
    @istoica05RT @databricks: The hard part of enterprise AI isn’t getting an answer. It’s getting an answer that understands how your business actually…

    2 Sources

    @databricksThe hard part of enterprise AI isn’t getting an answer. It’s getting an answer that understands how your business actually works. Genie One uses unified context from Genie Ontology to connect governed data, business definitions, documents, applications, and operational systems into a shared view. That helps teams: • Ask questions in the tools they already use • Get answers grounded in trusted data and business terms • Carry that context into follow-up work • Turn recurring decisions into actions and agents See how it works: https://www.databricks.com/blog/unified-context-missing-layer-enterprise-ai-coworkers?utm_source=twitter&utm_medium=organic-social
    @istoica05RT @databricks: The hard part of enterprise AI isn’t getting an answer. It’s getting an answer that understands how your business actually…