LAS VEGAS, Nov. 30, 2023 — At AWS re:Invent, Amazon Web Services, Inc. (AWS) announced five new capabilities within Amazon SageMaker to help accelerate building, training, and deployment of large ...

Software supply chain company JFrog Ltd. announced today a new integration with Amazon SageMaker to enable developers and data scientists to collaborate efficiently on building, training and deploying ...

Cloud services are designed to take away a lot of the complexity associated with managing a particular process, whether that’s software or infrastructure. Today, machine learning is quickly gaining ...

MLOps, short for Machine Learning Operations, refers to a set of practices, tools, and techniques that facilitate the deployment, monitoring, and management of machine learning (ML) models in ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More While much of the limelight and attention in the gen AI world at AWS over ...

AWS machine learning service offers easy scalability for training and inference, includes a good set of algorithms, and supports any others you supply Amazon SageMaker, a machine learning development ...

Amazon Web Services has launched a slew of updates to help customers power their AI workloads. Chief among them was the news that AWS EC2 customers can finally get their hands on Nvidia’s next-gen ...

Amazon SageMaker Role Manager makes it easier for administrators to control access and define permissions for improved machine learning governance Amazon SageMaker Model Cards make it easier to ...

Organizations using Amazon Web Services Inc.’s Amazon SageMaker platform to build artificial intelligence models now have access to a wealth of new features that will make machine learning projects ...

Machine-learning-as-a-service (MLaaS) is transforming the accessibility of advanced analytics, allowing users to harness the power of machine learning through easy-to-use, scalable and cost-effective ...