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DatabricksMohit Hingorani, Christine Li, Rhetta Nadas, Sydney SundellAnnouncement
Take insights anywhere with Genie One on mobile
Summary
Genie One mobile apps for iOS and Android let business users ask questions of company data, view dashboards, access Databricks Apps, and use conversational agent capabilities away from a desk. Answers draw on Genie Ontology, Genie Agents, enterprise governance, and connectors to Google Drive, Microsoft 365, and Atlassian, while respecting source permissions. AI/BI Dashboards reflow widgets into a single column in portrait mode and preserve their designed layout in landscape. Authentication uses the existing OAuth flow and identity provider, with MFA, conditional access, device posture, network controls, regional data handling, and workspace permissions carried over from the browser; there is no separate mobile backend or mobile-only endpoint. The app is available in Public Preview, with dark mode, push notifications, voice mode, and account-level access listed as planned capabilities.
Context
Business decisions often happen away from a desk, leaving retail associates, field teams, and leaders without convenient access to data and insights. The mobile app is intended to provide those users with answers and actions wherever they work.
Approach / What changed
Genie One provides mobile access to chat, dashboards, Databricks Apps, and agentic capabilities through iOS and Android apps. It uses Genie Ontology, Genie Agents, governed data, external-tool connectors, existing browser authentication, workspace URLs, and enterprise network and access controls.
Takeaways
In portrait mode, AI/BI Dashboard widgets reflow into a single-column layout using row-major ordering; landscape mode preserves the existing dashboard layout.
Source-native ACLs or Unity Catalog permissions are enforced on every answer, and users see only workspaces where they have at least Consumer access.
The mobile app is in Public Preview; planned additions include dark mode, push notifications, voice chat, and account-level access.
Source and freshness
- Source
- databricks.com
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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