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Cloudera Accelerates Enterprise Machine Learning from Research to Production

By   /  May 28, 2018  /  No Comments

A recent press release reports, “Cloudera, Inc., the modern platform for machine learning and analytics optimized for the cloud, today announced new innovations to help businesses operationalize data insights faster by making data scientists and data engineers more productive. New machine learning capabilities make it easier for data scientists to quickly train and deploy models with higher confidence and lower risk. Massive increases in performance, scale and capacity of Cloudera’s modern data platform help organizations keep pace with the explosive growth and diversity of data in their business. These new capabilities enable data teams to collaborate more effectively and deliver models to production faster, enabling secure access to enterprise-scale, high-performance data and compute, both on-premises and across public clouds.”

The release continues, “Enhancements announced today include: Cloudera Data Science Workbench 1.4 Accelerates Everyday Workflows for Data Scientists – Cloudera Data Science Workbench 1.4 extends the self-service machine learning platform from research to production. Typically, data science teams struggle to operationalize their work. It’s difficult to reliably reproduce or deploy trained models without inefficient and error-prone reimplementation. With this latest release, data scientists can run and track versioned experiments, as well as deploy models as REST APIs with a single click. Data teams now have a unified workflow to build, train, compare, and deploy models to production on a common, secure platform that runs anywhere.”

Read more at PR Newswire.

Photo credit: Cloudera

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