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AI & Agents
Build a Sigma app with the Sigma MCP and CLI
Connect any AI assistant to Sigma MCP, build a working app from one plain-language request, and automate admin tasks with the CLI. Follow 6 steps.
October 2, 2026
Fundamentals
Agentic Automation in Data Analysis: What It Is, Why It Matters and How to Run It Safely
Learn what agentic automation means for analytics teams, why it matters, and the governance, controls, and audit trails it needs to run safely.
October 1, 2026
Fundamentals
AI Agents for Digital Marketing Analytics: What They Do, Key Use Cases and How to Implement Them
AI agents for marketing analytics read live data, reason across channels, and act within governed rules. See key use cases and how to implement.
October 1, 2026
Engineering
How Sigma's Data Platform Team Manages the Semantic Layer with dbt and Dagster
Learn how Sigma's data team defines its semantic layer as code in dbt and deploys it with Dagster, so every merge to main ships updated Sigma data models.
September 30, 2026
Fundamentals
AI Agents for Sales & RevOps: What They Do, Key Use Cases and How to Implement Them
Learn how AI agents for sales and RevOps work, key use cases like pipeline risk and approval routing, and how to implement them with governed warehouse data.
September 29, 2026
Product
Sigma Agents are now GA: Scale AI workflows without the sprawl
Run Sigma Agents from Claude, ChatGPT, your own apps, or a Sigma workbook, while admins track every agent's usage, access, and token spend.
September 29, 2026
AI & Agents
What is Jev? How to use it in Sigma through MotherDuck
See how Jev, TypeSafe AI's text classification model, runs in Sigma on MotherDuck, what it costs per row, and where AI columns fit.
September 25, 2026
Fundamentals
What Is a Data App? Examples, Use Cases And How They Are Evolving
A data app connects insights from live warehouse data with action in one place. Learn how data apps work and drive decisions.
September 24, 2026