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

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 2143 reference ratings
4.8/5.0 (2143)

41Testimonials

  • "Amazon SageMaker will lower our costs and increase velocity for our use of machine learning. With Amazon SageMaker, we can transition from our existing self-managed TensorFlow deployment to a fully-managed …

  • “With Amazon SageMaker, we can accelerate our Artificial Intelligence initiatives at scale by building and deploying our algorithms on the platform. We will create novel large-scale machine learning and AI …

  • “At Intercom, we have a growing team of data scientists and data-oriented engineers, and we often want to iterate quickly and explore new solutions for data-driven products. Prior to Amazon …

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11 Case Studies

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

  • Mortgage Closings in 15 Minutes with Snapdocs on AWS

  • Capillary Easily Expands to 30 Countries Using AWS

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7 Customer Videos

  • Cerner - San Francisco: Ryan Hamilton SVP Population Health for Cerner (Ryan Hamilton - Senior Vice President)
  • PG&E - John Nichols Describes PG&E’s Efforts to Use AWS to Innovate & Save Money (John Nichols - Director Of Enterprise Architecture)
  • Avis Budget Group - Christopher Cerruto of Avis Budget Group Talks About Cloud Transformation (Christopher Cerruto - Vice President Global Architecture, Analytics & Bussiness Intelligence)
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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.