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 ...

It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. While in previous years AWS ...

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AWS expands its widely adopted machine learning service, combining comprehensive data, analytics, and AI capabilities Collaborate and build faster with Amazon SageMaker Unified Studio Today, hundreds ...

Amazon Web Services Inc.’s popular neural network development platform Amazon SageMaker is getting a major refresh, with a host of new capabilities that will support the integration of faster ...

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 ...

Amazon SageMaker HyperPod reduces time to train foundation models by up to 40% by providing purpose-built infrastructure for distributed training at scale Amazon SageMaker Inference reduces foundation ...

At re:Invent 2022, the cloud services provider updated its managed machine learning service to include new notebook and governance features. Amazon Web Services on Wednesday added new features to its ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Amazon just unveiled Serverless Inference, a new option for SageMaker, ...

Amazon SageMaker Canvas provides a visual interface for preparing data and training models, no programming or machine learning expertise required. Amazon Web Services has announced limited general ...