Creating Power BI reports for multilingual audiences can become complex and repetitive. This session presents a scalable and automated approach to building dynamic, multi-language reports using Azure AI Translator and Semantic Link Labs.

Semantic Link Labs will be used to translate metadata elements such as table names, column labels, and measure descriptions directly within the Power BI semantic model. Meanwhile, Azure AI Translator will process and translate the content inside tables, for example, values in dimension tables that need to appear in multiple languages in slicers or visuals.

Topics covered will include:

- Translating model metadata using Semantic Link Labs
- Translating table content dynamically with Azure AI Translator
- Enabling language switching based on browser locale or URL parameters
- Avoiding duplicated reports and reducing maintenance effort
- Deployment and automation strategies for multilingual scenarios

This session is ideal for data teams building Power BI reports for international users, or organizations looking to streamline multilingual reporting without duplicating content.