Partnership demonstrates DataRobot as the leader in automated machine learning across federal agencies
Boston – March 26, 2018 — DataRobot, the global leader in automated machine learning, data science, and predictive analytics, announced today its partnership with In-Q-Tel, Inc. (IQT), the strategic investor that identifies innovative technology solutions to support the U.S. Intelligence Community. The strategic development agreement with and investment from IQT will enable access to automated machine learning solutions for IQT’s partners, and empower them to use existing data to make faster predictive decisions in support of mission goals.
Data should be used to better prepare organizations and predict what’s to come; however, data has been underused as companies and government agencies struggle to find data scientists to meet the growing demands presented by new and more sophisticated threats. With the DataRobot platform, companies and agencies use their data to accurately forecast actions.
“DataRobot is the leader of automated machine learning used throughout commercial organizations, including banking, insurance, and healthcare. Our partnership with In-Q-Tel brings our ground breaking and proven AI [artificial intelligence] analytics to its government partners,” said Erin Hawley, Vice President of Public Sector, DataRobot. “From identifying cyber threats to pinpointing fraud, DataRobot delivers sophisticated predictive analytics to enable faster, more accurate decisions. Government agencies may now unlock the value of big data they have been collecting for years.”
Despite increasingly complex data, DataRobot transforms business analysts, data analysts, and other program staff into data scientists, enabling them to better leverage the data that has sat dormant in many federal agencies. Through open source and industry-leading algorithms, DataRobot delivers customized predictive models for an agency’s unique mission needs.
“As the pioneer in automated machine learning, DataRobot’s industry experience and knowledge makes their technology a valuable platform,” said Mike Graninger, Partner, Investments, IQT. “We believe the company’s capabilities will bring speed and accuracy to our partners’ data analysis.”
DataRobot is committed to delivering easy-to-use solutions to the federal market that change the way data is used and meet current and future needs of civilian and defense agencies for end-to-end predictive modeling, including deployment. To learn more about DataRobot and how its machine learning platform can be leveraged by federal agencies to deliver solutions around a cyber, fraud, and insider threat, visit https://www.datarobot.com/public-sector/.
DataRobot offers an enterprise machine learning automation 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 predictive models in parallel, delivering more accurate predictions at scale. DataRobot provides the fastest path to data science success for organizations of all sizes. For more information, visit www.datarobot.com.
In-Q-Tel is the not-for-profit, strategic investor that works to identify, adapt, and deliver innovative technology solutions to support the missions of the U.S. Intelligence Community. Launched in 1999 as a private, independent organization, IQT’s mission is to identify and partner with companies developing cutting-edge technologies that serve the national security interests of the United States. For more information, visit http://www.iqt.org.
Lauren Sawyer for DataRobot