Features include unique model cataloging and lineage capabilities, full end-to-end machine learning lifecycle management, and a model monitoring service. Other capabilities include ability to detect model performance and drift over time, measure and track individual prediction accuracy, ability to understand large numbers of ML models, lineage of data tied to the models, and increased model security.
Read full article on SD Times