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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 Machine Learning Platform

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 2394 reference ratings
4.8/5.0 (2394)

41Testimonials

  • “As a cloud-native video review and collaboration platform accessible to users all over the world, it's imperative we provide best-in-class security to our customers. With the anomaly detection model built …

  • “We have a strategic initiative to put machine learning into the hands of all of our engineers. Amazon SageMaker is key to helping us achieve this goal, making it easier …

  • “For over 25 years we have been developing advanced machine learning capabilities to mine, connect, enhance, organize and deliver information to our customers, successfully allowing them to simplify and derive …

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11 Case Studies

  • Gannett - Customer Case Study

  • John Nichols Describes PG&E’s Efforts to Use AWS to Innovate & Save …

  • Capillary Easily Expands to 30 Countries Using AWS

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7 Customer Videos

  • Cerner - San Francisco: Ryan Hamilton SVP Population Health for Cerner (Ryan Hamilton - Senior Vice President)
  • Avis Budget Group - Christopher Cerruto of Avis Budget Group Talks About Cloud Transformation (Christopher Cerruto - Vice President Global Architecture, Analytics & Bussiness Intelligence)
  • Wadhwani Institute for Artificial Intelligence - Wadhwani Institute for Artificial Intelligence Builds Innovative Health Solutions Using AWS (P.Anandan - Chief Executive Officer)
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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.