DataRobot Unveils Partnership with Databricks to Accelerate Development and Delivery of AI Applications
Integration Empowers Organizations to Maximize Workflows for AI and Analytics Initiatives
Boston, MA, June 1, 2018 — DataRobot, the pioneer in automated machine learning, today announced a partnership with Databricks, provider of the leading Unified Analytics Platform and founded by the original creators of Apache Spark™. By offering a unique combination of tools that empower teams developing practical artificial intelligence (AI) applications, the partnership will enable users to accelerate and scale the development and delivery of advanced AI solutions.
The DataRobot automated machine learning platform empowers business analysts and data scientists of all skill levels to build and deploy highly accurate machine learning models in a fraction of the time of traditional modeling methods. Databricks provides a Unified Analytics Platform to unify data processing with AI technologies. Data science teams are better positioned to collaborate with data engineering and lines of business to accelerate AI initiatives. The DataRobot and Databricks integration provides users with extract, transform, load (ETL) capabilities to cleanse, reformat, join, and optimize datasets to work in machine learning models for better analytics.
“It’s no longer a matter of if, but instead when companies will harness the power of machine learning to automate processes, optimize outcomes, and extract insights that deliver bottom-line benefits,” said Seann Gardiner, EVP of Business Development, DataRobot. “Our goal is to make the AI-Driven Enterprise a reality. Databricks shares this mission, and our integration will accelerate our ability to deliver this for customers.”
Databricks brings the capabilities of its robust Unified Analytics Platform to the DataRobot automated machine learning platform, helping users build the right datasets for AI and machine learning models. DataRobot brings the power of automated machine learning to Databricks users, allowing them to quickly build, validate, test, and select the best machine learning model to match their AI and data science challenges.
“Many companies struggle to succeed with AI initiatives because data science and data engineering technologies and organizations are siloed,” said Michael Hoff, senior vice president of business development and partners. “The technology integration between our Unified Analytics Platform and the DataRobot platform enables the automation of model selection, high-performance analytics, and powerful ETL capabilities, providing organizations with an end-to-end machine learning experience and ability to automate data science at scale.”
DataRobot will be at the Spark + AI Summit 2018 June 4-6 in San Francisco in booth #406. Learn more about the Databricks integration or check out DataRobot’s other world-class technology partners at www.datarobot.com/partners/
DataRobot offers an enterprise machine learning platform that empowers users of all skill levels to make better predictions faster. Incorporating a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform automates, trains, and evaluates models in parallel, delivering AI applications at scale. DataRobot provides the fastest path to AI success for organizations of all sizes. For more information, visit datarobot.com.