Data Science & Machine Learning with Microsoft Fabric | DEM368

Explore Microsoft Fabric’s unified Data Science experience in this fast-paced 25-minute demo. See how to ingest and prepare data with OneLake and Lakehouse, build models using Notebooks, Spark, and SynapseML, and track experiments with MLflow. Learn how to operationalize models with batch scoring and integrate results into Power BI. The session also showcases building a simple generative AI Q&A solution using Fabric Data Agents, giving you a practical end-to-end view in a short time. Seating for this session is first-come, first-served. Add it to your schedule to plan your day and arrive early to secure a spot. To learn more, please check out these resources: * https://aka.ms/build26-next-steps 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Prashant G Bhoyar 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Build 2026 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com DEM368 | Working with models Demo | (100) Foundational #MSBuild Chapters: 0:00 - Session overview: Data Science and Machine Learning with Microsoft Fabric 00:02:01 - Introduction to Microsoft Fabric as a unified data platform 00:04:34 - Integration with Power BI and consumption of deployed models for insights 00:04:47 - Introduction to model deployment across platforms and languages 00:04:52 - Transition to demo section 00:04:58 - Healthcare analyst scenario for diabetes progression prediction 00:13:37 - Listing experiments and creating visualizations 00:16:01 - Introduction to solving data problems using multiple data sources 00:19:53 - Integrating fabric agents within Copilot Studio and Foundry for cross-platform use