Author Harsh Patel

In this post, we will dive deeper into strategies an organization may take to monitor their production ML systems, and make certain that the systems are working for their intended purposes in a deployed environment.

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods.

In this post, we will dive deeper into managing model risk, and look at opportunities at how automation provided through DataRobot brings about efficiencies in the development and implementation of models.