DataRobot Customers Have Built More Than 300 Million Machine Learning Models on AWS to Power Data-Driven Initiatives
Boston, MA – November 28, 2017 — DataRobot, a pioneer in automated machine learning (ML), announced today that it has achieved Amazon Web Services (AWS) ML Competency status. The designation recognizes DataRobot for providing business analysts, data scientists and machine learning practitioners with an automated, cutting-edge solution that enables predictive capabilities within customer applications.
Achieving the AWS ML Competency distinguishes DataRobot as an AWS Partner Network (APN) member that streamlines machine learning and data science workflows, and is an indication that the company has demonstrated extensive expertise in AI and ML on AWS. Thousands of DataRobot users run on AWS, having built more than 300 million machine learning models.
“Since day one, we have demonstrated a fierce commitment to making the AI-driven enterprise a reality,” said Jeremy Achin, CEO of DataRobot. “Achieving AWS ML Competency status recognizes our track record of excellence in automated machine learning, as well as our dedication to our users, many of whom rely on AWS to power their data-driven initiatives.”
The DataRobot automated machine learning platform puts the power of ML into the hands of any business user. DataRobot automates the data science workflow, enabling users to build and deploy highly accurate predictive models in a fraction of the time of traditional methods. Developers building applications on AWS can leverage DataRobot’s APIs to power the machine learning in these applications.
“Given the complexity of building a scalable and reliable production workflow that serves billions of predictions, deploying machine learning at scale is still a challenge,” said Joseph Spisak, Global Lead for Artificial Intelligence and Machine Learning Partnerships, Amazon Web Services, Inc. “We are thrilled to have DataRobot join us as an APN Partner for the Artificial Intelligence and AWS Machine Learning Competency Program. By automating routine tasks, teams are able focus squarely on the problems they are trying to solve and spend less time worrying about how to optimize and deploy their models.”
AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the coveted AWS Partner Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise.
“With the combined power of DataRobot and AWS, we were able to develop and deploy our first models – with no data scientists – in less than two weeks,” said Julia Kurnia, Founder of Zidisha, a non-profit that facilitates microloans to entrepreneurs in developing countries. “Given the substantial impact these predictive models have in helping us extend our offerings to more entrepreneurs in additional countries, we were surprised at how easy it was. It was almost unbelievable.”
For more information about how to leverage DataRobot on AWS, email email@example.com.
DataRobot offers an enterprise automated 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 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.
Brian Merrill for DataRobot