In this video, the capabilities of AI in Power BI are explored using Claude Code to automate the creation of a Power BI report and semantic model. The AI is tasked with building measures, renaming columns and tables, establishing relationships, and creating two visualizations with varying complexity. The experiment illustrates how far Large Language Models (LLMs) have come in integrating with Power BI, although it is not intended as a workflow recommendation. Key steps include organizing tables and columns, forming star schema relationships, and developing measures focusing on stock performance analysis. The content emphasizes the importance of maintaining formatting integrity in Power BI files and includes links to resources that aid in agentic development and conditional formatting. Overall, the test showcases how AI can streamline processes in Power Bi but advises users to work on file copies to safeguard data.
Login now to access my digest by 365.Training