AWS on Tuesday introduced a reimagined version of SageMaker, transforming what had been a service for training and deploying machine learning models into a unified platform for data management, ...

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 ...

AWS on Friday launched Unified Studio in Amazon SageMaker, a single environment that brings AI and analytics development together with data management. Unified Studio was unveiled in preview in ...

TL;DR] On October 5, 2026, AWS announced the aws-ai-ml Skill for handling SageMaker inference optimization. AI agents like ...

Amazon SageMaker Feature Store delivers a purpose-built data store for storing, updating, retrieving, and sharing machine learning features Amazon SageMaker Pipelines gives developers the first ...

AWS’s Amazon SageMaker software, a set of tools for deploying machine learning, is not only spreading throughout many companies, it is becoming a key tool for some of the more demanding kinds of ...

Amazon Web Services Inc. today expanded its lineup of artificial intelligence capabilities by introducing an enhanced version of SageMaker, its neural network development platform. Originally ...

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 ...

Amazon Web Services on Wednesday unveiled SageMaker Studio Lab, a free version of Amazon SageMaker -- the AWS service that helps customers build, train and deploy machine learning models. Designed for ...