For enterprise organizations, getting machine learning (ML) models to production and scaling use cases in the business has been a significant challenge. It is estimated that only about 12% of ML models make it to production environments today. To tackle this challenge, we released Cloudera Machine Learning (CML) MLOps — the most comprehensive and secure production ML platform, built on a 100% open-source standard and fully integrated with Cloudera Data Platform. CML breaks the wall to production and enables end-to-end ML workflows at scale.
JOIN THIS WEBINAR TO:
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.
Experience CML’s robust and flexible model monitoring service for both technical metrics (latency, throughput, etc.) and the mathematical/functional monitoring — including first-class prediction tracking, metric stores, and Python SDK.
See how CML’s unique model cataloging and model lineage capabilities eliminate silos and lead to better, faster results.
