Building and Serving a Custom Model With Azure ML, Then Wiring It Into a Foundry Agent

The Foundry model catalog covers a lot of ground, but it doesn’t cover everything. If you need a model trained on your own proprietary, tabular data, a churn predictor built on your actual customer history, a fraud score trained on your actual transaction patterns, that’s not a model catalog problem. That’s a real machine learning problem, and on Microsoft’s stack it belongs to Azure Machine Learning, a genuinely separate platform from Foundry with its own SDK, its own workspace concept, and its own deployment model.