Domino Model Monitor (DMM) creates a “single pane of glass” to monitor the performance of all models across your entire organization. Data scientists can focus on value-added projects and receive alerts when production models degrade. Data drift, model quality, and other health statistics are provided in an easy-to-understand dashboard so you can assess the business impact and initiate proactive actions.
We run models in production where data drift critically impacts the predictions of those models. We need to know what has drifted and by how much. In a data driven organization, the chances of knowing every change to the data, by the business or others in the organization, are practically zero. Having an automated tool to monitor this drift against the training data is very important. Domino Model Monitor will save us significant time previously spent on maintenance and investigation.