Microsoft Fabric has emerged as a powerful platform in the Machine Learning (ML) and AI space, addressing common challenges organisations face in starting with ML and putting models in production. In this session, we’ll explore how Fabric simplifies end-to-end Data Science workflows, focusing on Semantic Link, a transformative feature for SMBs and enterprises alike. By accessing and synchronising Power BI semantic models to OneLake through Semantic Link, businesses can unlock advanced analytics without needing an extensive data warehouse.
We’ll demonstrate how to implement the theoretical Data Science Process in Fabric. Starting with the ideation and hypothesis phase, we’ll showcase data discovery of Semantic models using OneLake Catalog and explore options for synchronising Semantic Models, highlighting trade-offs in integration approaches and access methods.
For data exploration and modelling, we’ll use SynapseML and AI Functions to apply built-in GenAI for product segmentation, translation, and supplier reliability classification, enabled by Azure OpenAI. Next, we’ll prepare data models with AutoML tasks like financial forecasting, showcasing its accessibility for new teams and efficiency for scientists. Finally, we’ll showcase a scalable product recommendation system based on financial data, applicable across industries.
To provide actionable insights, models must be effectively deployed. We’ll demonstrate how to integrate the model lifecycle with your data pipeline, ensuring predictions remain relevant while monitoring trends and performance. Without a consumable layer, however, these models can’t deliver value. We’ll show how to serve predictions through Power BI semantic models and reports while seamlessly integrating them into external applications using Fabric’s shortcuts, SQL, or GraphQL as well.
By the end of this session, you’ll learn to implement end-to-end ML workflows in Fabric, from hypothesis to deployment, and integrate insights into Power BI and beyond. Join us to see how Fabric simplifies ML workflows and drives impactful results with Semantic Link!
