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More companies choose AWS for machine learning than any other cloud

More companies choose AWS for machine learning than any other cloud

AWS offers the broadest and deepest machine learning tools for your business to create intelligent solutions. That’s why more than 10,000 customers, from the largest enterprises to the hottest startups, choose AWS for machine learning.

"AWS is our machine learning platform of choice, unlocking new ways to deliver on our promise of being the world’s travel platform."

Matthew Fryer
Vice President and Chief Data Science Officer
Expedia Group

See how 10,000+ customers innovate with AWS machine learning

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Capital One uses ML to better protect customers from fraud

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The NFL uses ML to transform the fan experience

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Kia uses ML to reduce fatalities from auto accidents

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Convoy uses ML to revolutionize trucking

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At T-Mobile, ML humanizes customer service

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F1 uses ML to deliver a new experience to fans

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GE Healthcare creates better healthcare outcomes with ML

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Zendesk uses ML to enable faster customer service

Amazon SageMaker can accelerate your adoption of ML

Our mission is to make machine learning accessible to every organization by solving the toughest challenges hindering ML adoption, including complexity, cost, and data preparation. Amazon SageMaker removes complexity by streamlining the entire machine learning workflow to label and prepare your data, choose an algorithm, train the algorithm, tune and optimize it for deployment, make predictions, and take action.

Reduce costs
70%

cost reduction for data labeling
using Amazon SageMaker Ground Truth

75%

cost reduction for inference
with Amazon Elastic Inference

Increase performance
10x

better algorithm performance
using Amazon SageMaker

2x

performance increases from model optimization
with Amazon SageMaker Neo

EASE-OF-USE
One-click

model training and deployment
using Amazon SageMaker

Train once

run anywhere using Amazon SageMaker

Amazon SageMaker can accelerate your adoption of ML

Our mission is to make machine learning accessible to every organization by solving the toughest challenges hindering ML adoption, including complexity, cost, and data preparation. Amazon SageMaker removes complexity by streamlining the entire machine learning workflow to label and prepare your data, choose an algorithm, train the algorithm, tune and optimize it for deployment, make predictions, and take action.

Reduce costs
70%

cost reduction for data labeling
using Amazon SageMaker Ground Truth

75%

cost reduction for inference
with Amazon Elastic Inference

Increase performance
10x

better algorithm performance
using Amazon SageMaker

2x

performance increases from model optimization
with Amazon SageMaker Neo

EASE-OF-USE
One-click

model training and deployment
using Amazon SaeMaker

Train once

run anywhere using Amazon SageMaker

Apply the broadest and deepest ML for your business

You can choose from pre-trained AI services for computer vision, language, recommendations, and forecasting; use Amazon SageMaker to quickly build, train, and deploy machine learning models at scale; and build custom models with support for all the popular open-source frameworks.

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Easily add intelligence to applications

Pre-trained AI Services provide ready-made intelligence to address common use cases such as personalized recommendations, modernizing your contact center, and improving safety and security. Best of all, with AI Services on AWS no machine learning experience is required.

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Build, train, and deploy ML models fast

Amazon SageMaker enables organizations to quickly and easily build, train, and deploy machine learning models at any scale. It simplifies machine learning across use cases and industries—from real-time fraud detection to analyzing biological impacts of potential drugs.

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Choice and flexibility with ML frameworks

Choose from popular frameworks such as TensorFlow to customize ML algorithms. Use the framework of your choice as a managed experience in Amazon SageMaker or use the AWS Deep Learning AMIs, which are fully configured with the latest frameworks and tools.

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85%

of TensorFlowtm projects in the cloud happen on AWS

85%

of TensorFlowtm projects in the cloud happen on AWS

Build with confidence on the most comprehensive cloud platform

In order to create intelligent solutions, you need more than machine learning capabilities. You also need the right compute, security, data store, and analytics services to work together. With AWS, you can take advantage of the most comprehensive, most secure, and most innovative cloud.

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High-performance compute

Leverage powerful compute options, ranging from GPUs for compute-intensive deep learning, to FPGAs for specialized hardware acceleration, to high-memory instances for running inference. Amazon EC2 provides a wide selection of instance types optimized for machine learning use cases.

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Comprehensive analytics

AWS delivers an integrated suite of services that provide everything needed to quickly and easily build and manage a data lake for machine learning, store data securely, and comprehensive analytics for data.

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Uncompromising security

The AWS cloud provides you with a platform to scale and innovate, while still maintaining a secure environment. As an AWS customer, you will benefit from a data center and network architecture built to meet the requirements of the most security-sensitive organizations.

Learn more about implementing machine learning

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Enterprise AI Guide

Mobilize AI and machine learning in your business with these tips for selecting the right use case, data strategy, hiring the right skills, measuring ROI of AI projects, and revamping processes and systems to integrate AI.

Read the eBook »

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Implementing AI: From Exploration to Execution

MIT Sloan discusses how organizations are making technology choices, developing use cases, and scaling adoption of AI and machine learning.

Read the MIT Sloan report »

Learn more about implementing ML

Enterprise AI Guide

Mobilize AI in your business with these tips for selecting the right use case, data strategy, hiring the right skills, measuring ROI of AI projects, and revamping processes and systems to integrate AI.

Read the eBook »

Implementing AI: From Exploration to Execution

Learn how organizations in financial services, e-commerce, and technology services are making technology choices, developing use cases, and scaling AI adoption.

Read the MIT Sloan report »

Get started with AWS machine learning

Leverage Amazon's 20 years of ML experience and expertise to accelerate your initiatives—from advisory professional services to hands-on education for decision makers and developers.

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Amazon ML Solutions Lab

The Amazon ML Solutions Lab pairs your team with Amazon machine learning experts to build and deploy new machine learning solutions, all while developing your team’s machine learning skills and capabilities.

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Machine Learning Training

Build new ML skills in your organization, using the same curriculum used to train Amazon’s developers and data scientists. Get started quickly with on-demand digital training, available now at no cost.

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Machine Learning Partners

AWS Machine Learning Competency Partners offer a range of consulting services and technologies to help you create intelligent solutions for your business.