MCenter, our MLOps software platform, drives a repeatable, scalable machine learning management lifecycle to minimize the risk and complexity of AI.
As the central repository of all your machine learning activity in production, MCenter enables data scientists, IT operations, and business analysts to seamlessly work together on ML initiatives without unnecessary collaboration and communication.
Automate pipeline validation with real production data before going live (champion/challenger)
Run multiple pipelines across any infrastructure with a single click
Manage model parameters, configuration & dependencies
Coordinate interaction between inference & training pipelines
Define flexible policies for model updates & pipeline dependencies
Maintain state & behavior awareness across related pipelines
Identify inaccurate predictions with ML Health indicators
Resolve issues quickly with model snapshots & rollback
Enhance ML performance with rich visualizations & analytics on ML behavior
Diverse teams can communicate with shared & role-based dashboard views
Data scientists codify expertise into familiar operations workflows
IT & ops personnel drive feedback from live operations back to data scientists & business analysts