Highlights from the launch:
AI Query: Everyday Workflows, Supercharged
AI Query gives teams a simple, controlled way to tap AI directly from their warehouse, and all through a Sigma formula.
Because AI Query runs on the models and data you choose, outputs stay aligned to your governance and AI strategy while unlocking faster decisions across the business.
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AI Builder: From Natural Language to Complete Apps
With AI Builder you turn plain-language requests into fully wired dashboards and applications. You can start with something small, like renaming elements or adding a new page or go bigger and have AI Builder create an entire survey or forecasting app with input tables, forms, and result views.
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Connect AI with MCP: More Context, Better Answers
Sigma now supports Model Context Protocol (MCP) as both a Client and a Server so your AI experiences can use the right context, wherever they’re running:
- MCP Client: Let Ask Sigma and AI Builder draw on content from tools like Google Drive, Confluence, GitHub, or your own MCP servers to return richer, more accurate responses.
- MCP Server: Expose Sigma assets and admin operations to agents in Claude, ChatGPT, or your internal chat interfaces so AI can discover and act on live Sigma content.
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Warehouse-native Agents in Ask Sigma
Starting with Snowflake Cortex Agents, you can bring your agents directly into the Ask experience, with a path to use them in future builder and in-workbook chat experiences.
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Scale Analytics with Sigma Tenants
Sigma Tenants let you run multiple isolated environments under a single parent organization. With this release, it’s easier than ever to share governed content across tenants, manage approvals, and support global deployments without sacrificing control.
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