If on Azure any reason not to use the Azure ML platform vs a dedicated VM and azure functions

Question

I come from a full stack dev background and I don't know that much about ML, just evaluating a proposal. We have Azure web apps, Azure SQL and Azure BI for our SaaS. Seems it would make more sense to use the Azure ML platform and have it create the private endpoints and manage deployment, less setup...
This is more for text parsing, good and bad messages and suggestion like spam detection.

Answer 1

Hi, if you're going to be building and deploying ML solutions/pipelines, Azure ML offers great flexibility. AML offers code, no-code, and auto-ml options for ml workflows. AML also enables you to manage all of your ML resources in your workspace and offers MLOPs. Also, the ability to deploy a machine learning model to Azure Functions is currently in preview. Hope this helps.