• Share this post Keep up with us Summary Users can now ask natural-language data questions to Genie from the tools where they already work with our robust extensibility features-APIs, SDK, MCP, and Copilot Studio integrations.Use enterprise OAuth to ensure every Genie conversation is securely authenticated and governed with the right data permissions, no matter where your end users are asking questions.Learn how to scale trusted conversational analytics across your organization with a step-by-step guide on two common use cases: Bring Genie into Microsoft Teams and Embed Genie into your custom web apps. • Users can now ask natural-language data questions to Genie from the tools where they already work with our robust extensibility features-APIs, SDK, MCP, and Copilot Studio integrations. • Use enterprise OAuth to ensure every Genie conversation is securely authenticated and governed with the right data permissions, no matter where your end users are asking questions. • Learn how to scale trusted conversational analytics across your organization with a step-by-step guide on two common use cases: Bring Genie into Microsoft Teams and Embed Genie into your custom web apps. • Intro Democratizing data starts with making insights easy and secure to access. • With Databricks Genie, users can now talk to their data directly from the tools they already use: Teams, Slack, Confluence, or custom web apps.

Article Summaries:

  • Databricks has expanded its Genie platform to support enterprise OAuth, enabling secure, role‑based access to data across common collaboration tools and custom web applications. Users can now embed Genie’s natural‑language analytics in Microsoft Teams, Slack, Confluence, or any web app, with authentication handled by OAuth so each user’s Databricks credentials govern data permissions. The update includes streamlined integration steps for Teams via Copilot Studio and guidance on OAuth patterns-User‑to‑Machine, Machine‑to‑Machine, and On‑Behalf‑Of-for building custom web app integrations. This move aims to make data insights more accessible while maintaining enterprise‑grade security.

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