Putting mlops into practice

With MLOps, you will be able to streamline and manage your end-to-end machine learning lifecycle, from the inner loop of the data science lifecycle to the outer loop of model deployment and monitoring. In this session, Piethein will help you understand what is MLOps and how to put MLOps into practice with best practice recommendations, reference architectures, and hands-on examples.