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At last year’s AWS re:Invent conference, Amazon’s cloud computing unit launched SageMaker HyperPod, a platform for building foundation models. It’s no surprise, then, that at this year’s re:Invent, ...
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, ...
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 ...
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 ...
Amazon AWS says ‘Very, very sophisticated practitioners of machine learning’ are moving to SageMaker
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 ...
AWS SageMaker is a fully managed service provided by Amazon Web Services (AWS) that allows developers and data scientists to build, train, and deploy machine learning models at scale. It’s designed to ...
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services." Harvard Business School Case 622-060, May 2022.
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