DataRobot Adds Deep Learning and New Techniques to Extract Insights from Advanced Models

Data science pioneer DataRobot announced the latest version of their enterprise machine learning platform today. The new release integrates the powerful TensorFlow™ library for deep learning along with new tools to help users extract insights from all models on the platform. The release also updates DataRobot Prime, a premium add-on that allows users to export scoring code and operationalize models in any environment.

DataRobot provides a high performance machine learning automation software platform and an innovative practical data science education program that work together to provide the fastest path to data science success for organizations of all sizes.

DataRobot has established itself as the only enterprise grade machine platform, and users have built over 125 million models on the DataRobot cloud version alone. That number will continue to grow rapidly as the new features in the DataRobot platform empower business users of all backgrounds with the latest techniques to create value with data science.

"For years, the lack of visibility into why a prediction decision is made has been a big issue for making machine learning accessible to anyone but data scientists with PhDs," said Phillip Gurbacki, DataRobot VP of Product Management. "Now with DataRobot Reason Codes, users across a business - not just data scientists - have answers for every prediction.  With every update, we're continually raising the bar on what it means to be an enterprise machine learning platform, and delivering a decided competitive advantage for our customers."

"Being successful in the lending business is highly contingent on our ability to deliver accurate insights as fast as possible," said Deena Narayanaswamy, head of Data Insights, Avant. "DataRobot allows our data scientists, analysts and product teams to do timely analysis, enabling us to make smarter credit decisions. The platform's new capabilities around model transparency and enhanced tuning will give us even more fine-grained controls to tailor our insights and predictive models to meet our business needs."


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