Cloudera Delivers Open Standards Based MLOps Empowering Enterprises to Industrialize AI

PALO ALTO, Calif., May 6, 2020 – Cloudera (NYSE: CLDR), the enterprise data cloud company, today announced an expanded set of production machine learning capabilities for MLOps is now available in Cloudera Machine Learning (CML). Organizations can manage and secure the ML lifecycle for production machine learning with CML's new MLOps features and Cloudera SDX for models. Data scientists, machine learning engineers, and operators can collaborate in a single unified solution, drastically reducing time to value and minimizing business risk for production machine learning models. "Companies past the piloting phase of machine learning adoption are looking to scale deployments in production to hundreds or even thousands of ML models across their entire business," said Andrew Brust, Founder and CEO of Blue Badge Insights. "Managing, monitoring and governing models at this scale can't be a bespoke process. With a true ML operations platform, companies can make AI a mission-critical component of their digitally transformed business."