ElectrifAi, one of the world's leading companies in practical artificial intelligence (AI) and pre-built machine learning (ML) models, today announced that it has achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that ElectrifAi has demonstrated deep experience and expertise in building or integrating practical ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions to drive business optimization, customer revenue growth and cost reduction. This is done by creating, automating, and managing end-to-end ML workflows with machine intelligence. The AI and ML driven applications are maturing rapidly and creating new demands on enterprises.

ClearScale, a leading cloud systems integrator and Amazon Web Services (AWS) Premier Consulting Partner, announced that it has achieved AWS Machine Learning Competency status in the new Machine Learning Operations (ML Ops) category. This designation recognizes that ClearScale has demonstrated deep experience and expertise in building or integrating ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions, from creating, automating, and managing end-to-end ML workflows to modernizing applications with machine intelligence. AI and ML driven applications are maturing rapidly and creating new demands on enterprises. AWS is keeping pace and continuously evolving AWS Competency Programs to provide customers an ability to engage enhanced AWS Partner technology and consulting offerings.

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.