New delivery reinforces DataRobot’s commitment to deployment flexibility and enhancing AI ROI for its global customer base
Boston, December 2, 2019 — DataRobot, the leader in enterprise AI, today announced the availability of its enterprise AI platform on the Amazon Web Services (AWS) Marketplace. The AWS Marketplace is a curated digital catalog that makes it easy for customers to find, buy, deploy, and manage third-party software, data, and services that customers need to build solutions and run their businesses. The addition to the AWS Marketplace will make it easier to purchase DataRobot and help customers get from raw data to value even faster.
DataRobot’s customers span all industry sectors and have collectively built more than 1.4 billion models on the cloud enterprise AI platform — adding 2.5 million models daily. Many customers, including Fortune 500 companies, deploy DataRobot in a Virtual Private Cloud (VPC) on AWS. This approach fits into their existing cloud strategy and architecture, leverages the elastic nature of the cloud and AWS’ capabilities, optimizes modeling performance as well as compute cost, and ultimately enhances their AI ROI. Other customers note the agility of DataRobot’s Managed AI Cloud — a Software-as-a-Service (SaaS) solution which is also available on AWS. Today’s announcement reinforces DataRobot’s commitment to offering customers the best-in-class enterprise AI platform on the cloud of their choice.
“Our customers have continuously emphasized the value of being able to rapidly procure and deploy DataRobot in the cloud, and having flexibility is paramount in our mission of delivering AI with ROI,” said Michael Setticasi, Senior Director of Business Development. “We’re excited to further strengthen our partnership with AWS by offering this new channel to market and look forward to delivering increased value for our customers through this expanded relationship.”
DataRobot is backed by $431 million in funding which has enabled 1.4 million person-hours of engineering innovation since 2012. The most recent outcome of that hard work and investment is DataRobot MLOps, the recently announced addition to the DataRobot platform. MLOps offers users a centralized control panel for deployment, monitoring, management, and governance of machine learning models in production environments – across any cloud. Customers and prospective customers will also be able to procure MLOps through the AWS Marketplace.
“By coupling DataRobot’s enterprise AI platform with the power of the cloud and the AWS Marketplace, users will be able to easily build, deploy, and monitor machine learning models that yield actionable insights and ROI for organizations,” said Chris Grusz – Director of WW Business Development, AWS Marketplace. “We are excited to continue building upon our partnership with DataRobot by offering our customers a platform that moves the insights needle.”
To learn more about the power of the DataRobot solutions on AWS, stop by the company’s AWS re:Invent booth #416 at the ARIA, or visit the website: www.datarobot.com.
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises competing in today’s Intelligence Revolution. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting edge software and world-class AI implementation, training, and support services, empowers any organization – regardless of size, industry, or resources – to drive better business outcomes with AI.
With a singular focus on AI since its inception, DataRobot has a proven track record of delivering AI with ROI. DataRobot has offices across the globe and $431 million in funding from top-tier firms, including New Enterprise Associates, Sapphire Ventures, Meritech, and DFJ Growth. For more information, visit https://www.datarobot.com, and join the conversation on Twitter and LinkedIn.