Drive AI adoption at your business

FUEL PRODUCTIVITY AND INSIGHTS WITH AI IN SIGMA

Top teams choose Sigma. See for yourself.

Your UI for AI at the enterprise

Sigma unites your team, your data, and your AI strategy in one governed platform.

FAST

Apply AI models to your data in seconds

Write a simple SQL function in Sigma to call an AI model from your cloud data warehouse and run it on data columns.

STRUCTURED

Work in the tool that structures AI for you

Sigma’s spreadsheet UI calls AI models into columns and returns the output into rows. This familiar format makes it easier and faster to work with AI.

FLYWHEEL

Train AI models with business user input

Anyone—with appropriate permissions—can apply AI models to data, use Input Tables to correct the AI-generated outputs, and then securely write these corrections back to the warehouse, which trains the AI model continuously on live user feedback.

The most accessible way to get started with AI

Take advantage of the newest Gen AI functionality like summarization, classification, and open-ended prompting directly in Sigma’s formula bar. As long as your cloud warehouse exposes LLMs through a SQL function, you can call on them directly in Sigma.

Prompt("Is this a portable electronic?: "

& [Product Description])

Warehouse functions

Application in Sigma

Prompt

Run and answer AI prompts, on your own data.

Classify

Classify data according to custom classes you define.

Sentiment

Detect the positive or negative sentiment of your data.

Summarize

Generate a summary of data.

ExtractAnswer

Pull key quotes from data that match your prompt.

Translate

Translate text to a target language.

MaskPII

Mask sensitive data.

Rephrase

Reformat or fix grammar in text.

Compare

Find the similarity between data values.

Cloud warehouses are constantly adding access to new LLMs, which you can leverage in Sigma with AI Query. Functionality may vary by warehouse and LLM. See the latest available from Snowflake, Databricks, BigQuery and RedShift.

How TJC uses Sigma as the interaction layer for data & AI

Private equity firm TJC uses Sigma to:

Apply LLMs to unstructured data and extract structured data from it
Visualize AI-generated outputs
Correct AI-generated content with human context
Write corrections back to the data warehouse
Train their warehouse model with the corrections

Read the story

Plus, work faster in Sigma with helpful AI features

BETA

Use AI to explain an existing visualization in Sigma.

Learn more

Use AI to write, explain, or correct a formula in Sigma.

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Use Snowflake Cortex ML to forecast data with the click of a button.

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Connect people, data & AI

AI features in Sigma accelerate your data workflows today, while the core data infrastructure allows you to scale and evolve your AI approach in the future.