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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 2246 reference ratings
4.8/5.0 (2246)

41Testimonials

  • “We exceeded 15 million downloads of our mobile app, in 2.5 years since we launched the popular Kurashiru service. We believe it is critical to deliver the right content to …

  • “We are collaborating with AWS to build a more appealing video user experience for library patrons, enabling their searches to return more relevant results. By working with the AWS ML …

  • “Cerner is proud to drive artificial intelligence and machine learning innovation across a wide range of clinical, financial and operational experiences. Through new capabilities created by both Cerner’s Machine Learning …

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11 Case Studies

  • Capillary Easily Expands to 30 Countries Using AWS

  • Siemens Handles 60,000 Cyber Threats per Second Using AWS Machine Learning

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

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7 Customer Videos

  • DigitalGlobe -Walter Scott Shares How DigitalGlobe Uses Amazon SageMaker (Walter Scott - Chief Technology Officer and founder)
  • PG&E - John Nichols Describes PG&E’s Efforts to Use AWS to Innovate & Save Money (John Nichols - Director Of Enterprise Architecture)
  • Condé Nast - Condé Nast Goes All-In To The AWS Cloud (Joe Simon - Electors Verification Programme-Chief Technology Officer)
6 more videos currently locked

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.