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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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More There are troubling gaps revealed in a new report showing that ...

Werner Vogels, Amazon CTO, unveils Alexa for Business at AWS re:Invent 2017. (GeekWire Photo / Tom Krazit) Machine-learning services promise to be one of the most competitive areas for cloud computing ...

SageMaker has long been AWS’ fully managed platform for building, training, and deploying machine learning and generative AI models. Over time, however, an ecosystem of applications has sprung up ...

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 ...

At its ongoing re:Invent 2023 conference, AWS unveiled several updates to its SageMaker, Bedrock and database services in order to boost its generative AI offerings. Taking to the stage on Wednesday, ...

Marketers are always challenged to raise their machine learning knowledge, but have a few options to do so without being overwhelmed by programming code. Marketers are always challenged to raise their ...

The National Football League (NFL) is increasingly turning to Amazon Web Services’ SageMaker machine learning toolkit to create new, more complex statistics to share with fans in real time, and the ...