Automating Multilingual Document Translation with Microsoft Fabric and Azure AI

Modern organisations are increasingly multinational, producing large volumes of documents, such as reports, manuals, and communications, that are stored in Microsoft Fabric Lakehouses. Making this content accessible in multiple languages is a common challenge and is often handled manually or inconsistently.

This session shows how Azure AI Language Studio Translation APIs can be used to automate document translation directly from Fabric, enabling scalable and consistent multilingual access. We will cover the core concepts behind AI driven translation, why it makes sense as part of a data platform, and how it fits alongside other Azure AI services.

A live demonstration will walk through a practical, end to end implementation using Fabric pipelines and notebooks to orchestrate document translation from a Lakehouse via the Azure AI Translation APIs. Design decisions, integration patterns, and governance considerations will be explained along the way.

By attending this session, you will:

-Understand what Azure AI Language Studio offers and when to use translation services

-See how Microsoft Fabric can orchestrate AI services as part of a wider data platform

-Learn practical patterns for integrating AI into real data workflows

-Leave with approaches that can be reused beyond translation for other AI solutions

This session is aimed at data professionals who want to understand how to embed AI capabilities into practical, production-ready data platforms using Microsoft Fabric.

-Understand what Azure AI Language Studio offers and when to use translation services -See how Microsoft Fabric can orchestrate AI services as part of a wider data platform -Leave with approaches that can be reused beyond translation for other AI solutions