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Cloudera Speeds Up Enterprise Machine Learning from Research to Production

By   /  June 19, 2018  /  No Comments

According to a recent press release, “Cloudera, Inc., the modern platform for Machine Learning and analytics optimized for the cloud, 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.”

Tom Reilly, the Chief Executive Officer at Cloudera, said, “We believe data can make what is impossible today, possible tomorrow. With enhanced capabilities in Machine Learning, analytics, and Cloud, the new software products and cloud services we are announcing will enable our customers to more rapidly gain competitive advantages in the data economy. These enhancements demonstrate Cloudera’s commitment to market-leading innovations that empower enterprises to securely transform complex data into clear and actionable insights to propel their digital transformation.”

“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.”

Read more at PR Newswire.

Photo credit: Cloudera

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