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Amazon SageMaker

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Read 41 Amazon SageMaker reviews and testimonials from customers, explore 11 case studies and customer success stories, and watch 7 customer videos to see why companies chose Amazon SageMaker as their AI/ML Infrastructure

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Traditional ML development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. You need to stitch together tools and workflows, which is time-consuming and error-prone. SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost.

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  • 41 Testimonials View
  • 11 Case Studies View
  • 7 Customer Videos View
Customer Rating Review Score based on 2276 reference ratings
4.8/5.0 (2276)

41Testimonials

  • "On AWS, our AI-driven cybersecurity platform easily exceeds the strongest published benchmarks in the world."

  • “Amazon SageMaker makes it possible for us to develop our TensorFlow models in a distributed training environment. Our workflows also integrate with Amazon EMR for pre-processing, so we can get …

  • “Amazon SageMaker allows GE Healthcare to access powerful artificial intelligence tools and services to advance improved patient care.The scalability of Amazon SageMaker, and its ability to integrate with native AWS …

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11 Case Studies

  • Why Cerner Chose AWS to Power its Machine Learning and Artificial Intelligence, …

  • Walter Scott Shares How DigitalGlobe Uses Amazon SageMaker

  • Elevenia Instills a Data-Driven Culture with AWS Analytics Platform

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7 Customer Videos

  • Condé Nast - Condé Nast Goes All-In To The AWS Cloud (Joe Simon - Electors Verification Programme-Chief Technology Officer)
  • Wadhwani Institute for Artificial Intelligence - Wadhwani Institute for Artificial Intelligence Builds Innovative Health Solutions Using AWS (P.Anandan - Chief Executive Officer)
  • PG&E - John Nichols Describes PG&E’s Efforts to Use AWS to Innovate & Save Money (John Nichols - Director Of Enterprise Architecture)
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Additional Amazon SageMaker Information & Resources

Read Amazon SageMaker Reviews, Testimonials & Customer References from 41 real Amazon SageMaker customers.

Browse Amazon SageMaker Case Studies, Customer Success Stories, & Customer References from 11 businesses that use Amazon SageMaker.

Watch Amazon SageMaker Customer Videos to learn why 7 businesses chose Amazon SageMaker.