Amazon Web Services on Wednesday added new features to its managed machine learning service Amazon SageMaker ... to navigate access policies needed for all processes involved.

Amazon Elastic Inference takes models from “all popular frameworks ... additions to Amazon SageMaker, an AWS managed service that handles machine learning workflows. Many machine learning ...

AWS CEO Andy Jassy introduced a fully managed, end-to-end machine learning service — SageMaker. The company says SageMaker will enable developers to quickly build machine learning models at scale.

Amazon SageMaker is a fully managed service for developers and ... said Swami Sivasubramanian, VP of Machine Learning, AWS. “We want all developers to be able to use machine learning much ...

After introducing SageMaker, a new service that helps Amazon Web Services customers build and train machine-learning models, at its re:Invent 2017 conference in November, AWS shed a little more ...

all in one place with one pane of glass. The new IDE is part of SageMaker, Amazon's end-to-end machine learning service. At the AWS re:Invent conference in Las Vegas, AWS CEO Andy Jassy said ...

Building advanced ML silicon is part of AWS’s overall commitment to providing customers with the best price performance for their workloads. “Making machine learning accessible for all has ...

Meanwhile, online travel booking company Expedia has gone all-in on AWS and is standardizing on AWS machine learning technologies across its brands, which include Expedia.com, Hotels.com ...

Amazon Web Services announced Wednesday a new AI-powered service for healthcare software ... without needing to manage the underlying machine learning infrastructure or train their own healthcare ...