By using H2O Driverless AI on AWS, customers are able to train, optimize and deploy trusted ML models to accelerate the process of extracting business insights.

The new tools and capabilities will make it faster and cheaper to label data, train machine learning models, and deploy models for inference.

During the first keynote of AWS re:Invent, Jassy launched Amazon SageMaker, which he described as an easy way to build, train, and deploy machine learning models.

After just four months, customers are building more than one million models per month. H2O.ai announced that it has added key new features to Driverless AI based on customer insights and usage.

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, is releasing Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances, a new instance type designed for training machine learning models.