Are you using the most appropriate machine learning approach for your use case?
Some machine learning tasks can be completed in real-time, while others require batch processing. This talk will compare and contrast the pros and cons of both approaches, so that you can assess the differences between batch and real-time inference. You will also learn how to do real-time ML using the new Azure ML Endpoints, going from deploying a simple ML model to iterating the changes you need to make in order to get a production-ready service.
By the end of this talk, you will be able to determine whether your projects need batch or real-time ML, and know how to deploy a real-time machine learning model using Azure ML Endpoints.