Use Genie Everywhere with Enterprise OAuth
Summary
Databricks Genie now offers enhanced extensibility features, including APIs, SDK, MCP, and Copilot Studio integrations, allowing users to ask natural-language data questions directly within tools like Microsoft Teams, Slack, Confluence, or custom web applications. The platform supports enterprise OAuth for secure authentication and data permission governance across all Genie conversations. This update simplifies the integration process, enabling organizations to scale trusted conversational analytics. The article provides step-by-step guides for two common use cases: integrating Genie into Microsoft Teams via Copilot Studio and embedding Genie into custom web apps using Genie Conversation APIs, both with secure OAuth authentication.
Key takeaway
For Machine Learning Engineers or Data Engineers building data applications, you should consider integrating Databricks Genie with enterprise OAuth to provide secure, governed natural-language analytics directly within user workflows. This approach simplifies data access and ensures compliance by enforcing individual data permissions, reducing the development effort for custom integrations and accelerating time-to-insight for end-users.
Key insights
Databricks Genie integrates natural-language analytics into existing workflows with robust extensibility and secure OAuth.
Principles
- Democratize data access securely.
- Integrate analytics into user workflows.
- Enforce data permissions per user.
Method
Integrate Genie into Microsoft Teams via Copilot Studio or embed into custom web apps using Genie Conversation APIs, ensuring secure OAuth authentication and user-specific data governance.
In practice
- Use Copilot Studio for Teams integration.
- Register OAuth apps for custom web apps.
- Implement U2M OAuth for personalized access.
Topics
- Databricks Genie
- Conversational Analytics
- OAuth Authentication
- API Integration
- Microsoft Teams Integration
Best for: Software Engineer, Machine Learning Engineer, Data Engineer
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Databricks.