How to Make a Machine Learning Pipeline Robust?

SageMaker exposes all these features, so training, data processing, evaluation, deployment as just simple APIs. In the user's perspective, you don't need to know about the infrastructure. It will provision under the hood for you. So this is something that you can integrate with any other tool. You can invoke after training, you can invoke another API to deploy your model. And this SageMaker will expose your model as just an API, and then you can integrate to the backend of your application. You can integrate with a mobile app. The challenge for these small companies or the medium companies will be just to define, to understand the business they need to address. This is very important.