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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 2197 reference ratings
4.8/5.0 (2197)

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 …

  • “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 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 …

40 more testimonials currently locked

11 Case Studies

  • Urbanbase launches services 20x faster with AWS

  • Mobiuspace - Customer Case Study

  • Capillary Easily Expands to 30 Countries Using AWS

10 more case studies currently locked

7 Customer Videos

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