Data Science & Machine Learning with Microsoft Fabric | DEM368
Traditional ML remains essential alongside generative AI for low-latency, reproducible, edge-deployable use cases, supported in Microsoft Fabric.
“even though there's a more and more push for generative AI there are a lot of edge cases where traditional ML is still relevant”
A Microsoft Build session walked through using Microsoft Fabric for traditional ML and data science workflows, arguing classic models still win on latency, reproducibility, and edge compute despite the generative AI surge. It demoed Fabric notebooks for experimentation, model selection, deployment, and the Fabric data agent. It is a useful platform overview but a routine product-education talk with no major announcement.