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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 2340 reference ratings
4.8/5.0 (2340)

41Testimonials

  • “We are in the process of migrating machine learning training environments from on-premises to Amazon SageMaker. Amazon SageMaker offers us a more scalable solution for our business. With the Automatic …

  • “As Dow Jones continues to focus on integrating machine learning into our products and services, AWS has been a great partner. Leading up to our recent Machine Learning Hackathon, the …

  • "We’ve reduced application deployment times from weeks using our former on-premises infrastructure to just minutes using AWS and Chef. That means more timely services for our customers."

40 more testimonials currently locked

11 Case Studies

  • Mobiuspace - Customer Case Study

  • Gannett - Customer Case Study

  • Urbanbase launches services 20x faster with AWS

10 more case studies currently locked

7 Customer Videos

  • 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)
  • PG&E - John Nichols Describes PG&E’s Efforts to Use AWS to Innovate & Save Money (John Nichols - Director Of Enterprise Architecture)
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.