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 ...

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 ...

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 ...

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 ...

Planet Labs PBC (NYSE: PL), a leading provider of daily data and insights about Earth, today announced it is making geospatial data available through Amazon SageMaker, a fully managed machine learning ...

Demand for end-to-end platforms, the convergence of data and AI, and the evolution of roles in the generative AI era are all driving the change, say analysts. Data warehousing, business intelligence, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Updated 2/14/21 at 9:14pm PST The data tooling and infrastructure space ...

Informatica INFACore promises to simplify the creation of data pipelines for building and deploying machine learning models in Amazon SageMaker Studio. Informatica has launched a cloud-based ...

Amazon Web Services (AWS) is a significant force in the public cloud market. Every year it hosts AWS re:Invent, considered by users and analysts as one of the most important annual technical cloud ...

Salesforce is the most successful SaaS company in the world. AWS is the biggest infrastructure player, and the two giants have gotten together over the years whenever it makes sense. As a couple of ...