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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 2219 reference ratings
4.8/5.0 (2219)

41Testimonials

  • “With the increasing demand for easier use of Cookpad’s recipe service, our data scientists will be building more machine learning models in order to optimize the user experience. Attempting to …

  • “We believe that Amazon SageMaker is a transformative addition to the realtor.com® toolset as we support consumers along their homeownership journey. Machine learning workflows that have historically taken a long …

  • “Our new competency cements the relationship with AWS and our marketing and sales teams plan to work closely to enable new go-to-market strategies, We have grown significantly during our 10-year …

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11 Case Studies

  • Urbanbase launches services 20x faster with AWS

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

  • Capillary Easily Expands to 30 Countries Using AWS

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7 Customer Videos

  • PG&E - John Nichols Describes PG&E’s Efforts to Use AWS to Innovate & Save Money (John Nichols - Director Of Enterprise Architecture)
  • Wadhwani Institute for Artificial Intelligence - Wadhwani Institute for Artificial Intelligence Builds Innovative Health Solutions Using AWS (P.Anandan - Chief Executive Officer)
  • Ryanair - Ryanair Improves Customer Support Using Amazon SageMaker (Lee Reddin - Head OF service Design)
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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.