Learn how CML’s MLOps functionality eliminates the model black box and drives secure, transparent ML workflows from data to experimentation to production at scale.
In this session we will discuss:
- CML’s robust and flexible model monitoring service for both technical metrics (latency, throughput, etc.) and the mathematical/functional monitoring
- First-class prediction tracking, metric stores, and Python SDK.
- How CML’s unique model cataloging and model lineage capabilities eliminate silos and lead to better, faster results