{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Fabric Architecture Podcast","title":"ML Models in Fabric: Training, Deployment, and When to Stay on Azure ML","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/9433aea1\"></iframe>","width":"100%","height":180,"duration":612,"description":"Microsoft Fabric ships its own MLflow registry — but is it a replacement for Azure Machine Learning? Matthias and Fabia work through the four-layer registry model, PREDICT versus Model Endpoints, the Direct Lake prediction loop, and the architectural question that actually determines the answer: where do your predictions land?","thumbnail_url":"https://img.transistorcdn.com/kYQz8ZRjmrBer1DvLIP4R-49I1sOajU9ML6fdbNf5gU/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xNmZi/MmU3NmY4ODZmMGNi/MTQxNGU3YzdiYzI5/YzEzNS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}