| title | description | author | ms.author | ms.reviewer | ms.custom | ms.topic | ms.date | no-loc | ms.collection | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Enable Copilot in Fabric |
Learn how to enable Copilot in Fabric and Power BI, which brings a new way to transform and analyze data, generate insights, and create visualizations. |
maggiesMSFT |
maggies |
shlindsay |
|
conceptual |
06/17/2024 |
|
ce-skilling-ai-copilot |
Copilot and other generative AI features in preview bring new ways to transform and analyze data, generate insights, and create visualizations and reports in Microsoft Fabric and Power BI.
Copilot capabilities in Microsoft Fabric are enabled by default in the Fabric admin portal. Copilot can be disabled if your organization isn't ready to adopt Copilot. Administrators can read the article Copilot tenant settings (preview) for details.
- Your F64 or P1 capacity needs to be in one of the regions listed in this article, Fabric region availability.
- If your tenant or capacity is outside the US or France, Copilot is disabled by default unless your Fabric tenant admin enables the Data sent to Azure OpenAI can be processed outside your tenant's geographic region, compliance boundary, or national cloud instance tenant setting in the Fabric Admin portal.
- Copilot in Microsoft Fabric isn't supported on trial SKUs. Only paid SKUs (F64 or higher, or P1 or higher) are supported.
Copilot in Microsoft Fabric is rolling out in stages with the goal that all customers with a paid Fabric capacity (F64 or higher) or Power BI Premium capacity (P1 or higher) have access to Copilot. It becomes available to you automatically as a new setting in the Fabric admin portal when it's rolled out to your tenant. When charging begins for the Copilot in Fabric experiences, you can count Copilot usage against your existing Fabric or Power BI Premium capacity.
See the article Overview of Copilot in Fabric for answers to your questions about how it works in the different workloads, how it keeps your business data secure and adheres to privacy requirements, and how to use generative AI responsibly.