H2O is an open source data machine learning platform that provides a flexible, user-friendly tool to help data scientists and machine learning practitioners. It was created by H2O.ai, an AWS Partner Network (APN) Advanced Partner with the AWS Machine Learning Competency. Moreover, H2O boasts a significant number of users in the data science community. Based on website analytics embedded in the product, H2O is being used by more than 160 of the Fortune 500 companies, including eight of the top 10 banks and seven of the top 10 insurance companies. In this post, I will show you how to use H2O on Amazon Web Services (AWS) and share best practices for using H2O in the cloud.

Today I'm excited to announce a new Machine Learning Competency for Consulting Partners in the AWS Partner Network (APN). This AWS Competency program allows APN Consulting Partners to demonstrate a deep expertise in machine learning on AWS by providing solutions that enable machine learning and data science workflows for their customers. This new AWS Competency is in addition to the Machine Learning competency for our APN Technology Partners, that we launched at the re:Invent 2017 partner summit. The AWS Competency Program helps customers find the most qualified partners with deep expertise. AWS Machine Learning Competency Partners undergo a strict validation of their capabilities to demonstrate technical proficiency and proven customer success with AWS machine learning tools.