Building AI-Powered Features Around Power BI Embedded Analytics

codeautomation​ 

Below are the few usecases where I implemented AI capabilities in report embed applications 

1. Embed for Organization scenarios (User owns the data): The easiest route is to use the native power bi copilot option. 
   Now available: two new Copilot experiences | Microsoft Fabric Community
2. Embed for Customers outside the organization: You would need to train your LLM about your semantic model schema and its knowledge, to retrieve this information from your semantic model either you can use 
   1. Native Power BI Consumption MCP server: https://learn.microsoft.com/en-us/power-bi/developer/mcp/remote-mcp-server-get-started
   2. You can build a Fabric data agent on top of an existing semantic model and use its MCP endpoint, to integrate it with your LLM:
      https://learn.microsoft.com/en-us/fabric/data-science/data-agent-mcp-server
   3. You can build a custom solution to retrieve the metadata from your model and report. Feed it into your LLM. 

One more thing to mention here for those who does not want to build all of these applications from scratch, I have seen few tools called Reporting Hub which can do report embedding and can enable AI capabilities along with it. Do note its a paid service. 

Hope this helps.

checkout my blogs here: https://www.techietips.co.in/