Machine Learning Times
Machine Learning Times

8 years ago
The Role of Analysts After Model Deployment

 Last month I made the case for discussing model deployment. One of the mistakes I see organizations make related to deployment is this: after the model is deployed, there is little or no thought about that model any more. This reaction is perfectly understandable. I know after I finish building models, especially ones that were difficult to build, I want to put that model behind me and start working on the next one. However, if models have a critical role in the decision-making processes of an organization, the work of the analyst should continue. As the model is

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