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 undefined

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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Customer Rating Review Scorebased on 1905 reference ratings
4.8/5.0 (1905)

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 our users at the right time using advanced technologies such as machine learning. To achieve this, we used Amazon SageMaker that helped us build and deploy the machine learning models in production in 90 days. We also improved the Click-Through Rate by 15% with content personalization”.

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11 Case Studies

  • Why Cerner Chose AWS to Power its Machine Learning and Artificial Intelligence, AWS San Francisco Summit 2018

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7 Customer Videos

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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.