ParallelM's MCenter helps Data Scientists deploy, manage and govern ML models in production. Just import your existing model from your favorite notebook and then create data connections or a REST endpoint for model serving with the drag-and-drop pipeline builder. Advanced monitoring automatically creates alerts when models are not operating as expected due to changing data. With built-in model governance, every action is controlled and tracked including model versioning and who can promote models into production to ensure compliance with regulations.