Deliver Your News to the World Achieves AWS Machine Learning Competency Status

Mountain View, Calif. – WEBWIRE, a leading company bringing Artificial Intelligence (AI) to enterprises, announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes for enabling data scientists and machine learning practitioners with tools to take their data, train predictive models and make predictions on new data.

Achieving the AWS ML Competency differentiates as an AWS Partner Network (APN) member that has built solutions that help organizations solve their data challenges, enable machine learning and data science workflows or offer SaaS/API based capabilities that enhance end applications with machine intelligence. Attaining the AWS ML Competency, demonstrates to our customers that has validated ML expertise on AWS.

“We’re excited to achieve AWS ML Competency status in the Platform Providers category,” said Sri Ambati, co-founder and CEO at “Our automated machine learning tools allow data scientists to complete tasks in minutes that previously would have taken days, giving them more time to focus on insights and strategy. This is a major step in our quest to democratize AI in the enterprise.”

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 AWS Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise.

“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 join us as an APN Partner for the Artificial Intelligence and Machine Learning Competency Program. By automating routine tasks, teams are able to focus squarely on the problems they are trying to solve and spend less time worrying about how to optimize and deploy their models.”’s most significant accomplishment in the machine learning space this year was the launch of Driverless AI, a plug-and-play solution that enables any company to use AI, even ones who lack a team of world-class data scientists. Driverless AI, which runs up to 40x faster than other products on the market, can be used for a myriad of use cases, including fraud prevention, product recommendations and healthcare personalization. Overall,’s suite of products is used by more than 120,000 data scientists, 12,400 organizations and nearly half of the Fortune 500 companies. 

About’s mission is to democratize machine learning through its leading open source software platform. Its flagship product, H2O empowers enterprise clients to quickly deploy machine learning and predictive analytics to accelerate business transformation for critical applications such as predictive maintenance and operational intelligence. recently launched Driverless AI, the first solution that allows any business -- even ones without a team of talented data scientists -- to implement AI to solve complex business problems. Customers include Capital One, Progressive Insurance, Comcast, Walgreens and Kaiser Permanente. For more information and to learn more about how is transforming businesses, visit

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