Data and AI releases

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What's new in Sigma

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AI Support for Amazon Bedrock AI provider (Beta) Amazon Bedrock is now a supported AI provider, letting you use Anthropic foundation models with Sigma AI-powered features. For setup instructions, see Add Amazon Bedrock as an AI provider . Admin Connect to ClickHouse (Beta) Sigma now supports connections to ClickHouse.

Also shipped May 29, 2026Sigma Computing in May 2026 →

🆕 Improved Nova-3 Medical Batch Model Released

We’ve released an upgraded Nova-3 Medical batch model with improved medical term recognition. Key Improvements: Expands the model’s medical vocabulary with new medical terms Boosts medical term recognition to 97.20% KRR Maintains WER parity with no observed regression on common or conversational terms

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What's new in Sigma

AI Create AI columns (Beta) You can now create AI columns to enrich your data using natural language prompts. AI columns allow you to construct dynamic prompts that reference specific table columns, and can be helpful for tasks like enriching, summarizing, and classifying data. See Create AI columns (Beta) for more information.

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What's new in Sigma

AI Apps Sigma Public Sigma Public is now available as a free-to-use platform where you can create, share, and explore apps built in Sigma. Use sample data or upload your own datasets to build workflows in an embedded Sigma experience. You can also search apps created by other users to get inspiration for your next app in Sigma.

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What's new in Sigma

AI Build and interact with Sigma agents (Beta) Build agentic solutions natively in Sigma with Sigma agents . Agents provide AI capabilities to a dashboard or application based on a predefined context of the data elements in a workbook.

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What's new in Sigma

API Custom SQL elements included in the response for List sources endpoints The List data model sources ( GET /v2/data-models/{dataModelId}/sources ), List workbook sources ( GET /v2/workbooks/{workbookId}/sources ), and List report sources ( GET /v2/reports/{reportId}/sources ) endpoints now include custom SQL elements in the response.

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What's new in Sigma

AI AI column support for Databricks connections (Beta) You can now create and use AI columns on Databricks connections. AI columns allow you to construct dynamic prompts that reference specific table columns, which can be helpful for tasks like enriching, summarizing, and classifying data. See Create AI Columns (Beta) .

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What's new in Sigma

AI Agent skills for Sigma You can install agent skills for Sigma to help AI assistants authenticate to the Sigma REST API and create Sigma documents as code. For more information, as well as access to the public skills repository, see Install skills for AI assistants .

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What's new in Sigma

AI Monitor MCP queries You can now use the "kind":"mcp" tag to monitor queries sent by the Sigma MCP server. This can be helpful to monitor costs or usage associated with the MCP server. See Monitor MCP queries for more information.

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What's new in Sigma

Admin Connection-level OAuth for Snowflake and Databricks (GA) Set up a specific OAuth configuration to authenticate to a Snowflake or Databricks connection without reusing the OAuth configuration used to authenticate to your Sigma organization.

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