Model deployment and integration

Once we have found the optimal train-test loop, we might still face the task of deploying the model to a production system so that it can be used to make actionable predictions.

Usually, this process involves exporting the trained model to a central data store from where the production-serving system can obtain the latest version. Thus, the live system refreshes the model periodically as a new model is trained.