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

Видео Data Science & Machine Learning with Microsoft Fabric | DEM368 канала Microsoft Developer