Discover what Machine Learning can do for your business.

Solutions powered by automated insight and experience.

Discover what Machine Learning can do for your business.

Solutions powered by automated insight and experience.

Bring the Power of Machine Learning to Today's Business

Machine learning can allow your business to make decisions and answer questions faster and more efficiently than ever before. At Amazon, we’ve been using machine learning for more than 20 years to improve virtually every aspect of our business, and we’re focused on bringing that knowledge and capability to our customers through AWS. We offer a wide variety of services and solutions to match your needs, from powerful compute infrastructure for highly customized projects - to the most advanced machine learning platform in the world - to managed services that require no machine learning knowledge to add intelligence to your applications.

Introduction to Amazon Machine Learning

What Can Machine Learning Do for You?

To future-proof their businesses, organizations are looking for new ways to make critical decisions faster. Read this new report by Aberdeen Group which explores the technologies companies are investing in to support decision-making.

Machine Learning in Action

Discover how healthcare giant Philips and UK-based reinsurer Aon Benfield are leading their respective industries in machine learning and deep learning.

Discover How Amazon AI Can Transform Your Business

Discover how AWS customers are using our AI solutions to transform their companies and their products.

Making machine learning work for you.

Discover how our customers are using machine learning.

Making machine learning work for you.

Discover how our customers are using machine learning.

How customers Are Using AWS ML


Improve Personalization and Understanding

Data-driven decisions are transforming the customer experience by understanding and responding in real time to customer needs, wants (prediction) and frustrations (customer churn). Key benefits include product and content recommendations, personalized interactions, product innovation, and the voice of the customer.


Anomaly Detection and Response

Anomaly detection is identifying data which does not conform to an expected pattern. Key benefits include fraud prediction and detection, event management or emergency and crisis prediction. Capital One predicts the likelihood of credit default and has predictive models to help identify fraudulent transactions. Stanford University conducts early detection of diabetic complications, preventing 90% of disease complications.


Communication and Universal Experiences

Understand customers, employees, and content in any language through AWS services. Key benefits include call center and customer care, service support, globalization of rich content and media or in-room-transcription.


Information Management and Innovation

Explore and discover connections in documents, images and audio across billions of inputs and existing data assets. Consolidate your structured and unstructured data into a single source. This includes text and image analytics, log analysis, semantic document management, knowledge management, compliance governance, and consolidating data into a data lake.


Ad Targeting

Re-targeting is a revenue driver for online businesses worldwide. How can companies more effectively convert site visitors to customers given the competition? By effectively leveraging big data, IoT, AI, and real-time analytics, AWS helps intelligently reach the right customers at the right time and allows customers to scale to demand without human intervention. Rapid-fire response times allow customers to win more bids for ad placement while keeping costs to a minimum.


Connected Devices

If you could collect and analyze all the data from your customers’ interactions with your products – what would you be able to do? Connected cars, factory floors, aircraft engines, and sensor grids can easily and securely interact with cloud services and other devices at a global scale, driving new revenue streams and reducing costs.

Customer machine learning stories

  • Instead of being limited by technology, AWS customers are making it work for them by increasing innovation and opening up new market opportunities. Financial Services customers like, CapitalOne and AON are using AWS Artificial Intelligence (AI) technologies in a number of different ways to improve customer service, prediction models and lots more to innovate their business.


    UK-based Aon plc, the parent company of Aon Benfield Securities, Inc., is a leading global provider of risk management, insurance, and reinsurance brokerage. Aon is using AI to predict outcomes and calculate risk to better predict policy-holder behavior and simplify risk management.


    Capital One is one of the nation's largest banks and offers credit cards, checking and savings accounts, auto loans, rewards and online banking services for consumers and businesses. CapitalOne, is pioneering the use of AWS AI technologies to deliver exceptional customer experiences.

    fraud-net-200x100, the world's leading crowdsourced fraud prevention platform, started using Amazon Machine Learning to help its developers build models and enable the use of APIs to get predictions for applications without deploying prediction generation code.


    SCDM Financial is a startup located in Frankfurt and Armenia, delivering analytics and AI solutions to some of the world's largest financial institutions. In less than three months, through their use of Amazon ML solutions, SCDM Financial started to provide its customers with high-value investor data from vast quantities of financial documents.

  • Unique shopping experiences can increase customer engagement and brand loyalty. AWS allows retailers to use machine learning, facial recognition, and other AI capabilities to bring intelligence to applications, enabling retailers to elevate the way they interact with their customers, through relevant, personalized, and differentiated experiences.


    Monitoring Customer Feedback with Deep Learning

    DigitalGenius is an AI-powered customer service solution that monitors social media, texts and emails for negative customer sentiment, identifies cases that need more attention, and suggests ideal responses to queries.


    Helping shoppers be Efficient using Deep Learning

    Instacart allows people to order groceries online by connecting them with personal shoppers who hand-pick items at the customer’s' favorite local stores and deliver them straight to their door. Instacart trained deep learning models to build a scoring generator that helps customers shop based on their previous purchases.


    Using Deep Learning to Dress Customers in Style

    Stitch Fix is an online styling service that delivers a personalized shopping experience. The service applies deep learning to match customers with personalized clothing recommendations.

  • Manufacturing and automotive companies can benefit from AI in areas such as predictive and prescriptive maintenance, consumer sentiment analysis, autonomous driving and after-sales services.


    DriveAI creates AI software for autonomous vehicles using a deep learning methodology. AWS provides the company with the ability to seamlessly scale as their business grows, and the capability to handle high-performance computing demands.


    John Deere’s Precision Agriculture platform enables farmers and their advisors to react to data in real time. Machine learning is the connector among technologies the company is putting to work—including autonomous driving, on-board computing, geospatial referencing, and telematics. The result is precision farming, where problems are detected and solved before they arise.


    Consumers and the auto industry have trusted Kelley Blue Book for auto valuations and accurate information since 1926. Using Amazon AI services, Amazon Polly and Amazon Lex, the Kelley Blue Book bot allows users to get real-time trade-in value for vehicles.

More machine learning is built on AWS than anywhere else.

More machine learning is built on AWS than anywhere else.

Getting started with Machine Learning on AWS.

Machine learning has many immediate applications in areas like image and video analysis, content and product recommendations, speech recognition, and language analysis. The technology is being applied across virtually every industry, including healthcare, retail, media, financial services, and manufacturing to help businesses better serve their customers and gain significant advantages. The flexibility, scale, and low cost of AWS allows you to get started adopting machine learning too.

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88% of TensorFlow projects in the cloud are running on AWS.

Nucleus Research reveals five reasons why deep learning practitioners choose AWS for deep learning over other cloud providers.

Training and Certification

Advance Your Skills and Knowledge

Learn from the experts at AWS and get more out of the cloud. AWS Training and Certification offers both digital and classroom training to help you build your cloud skills. Learn online at your own pace or deepen your technical skills in a hands-on class with an instructor.

Introduction to Machine Learning

Course duration: 10 min

This course introduces you to machine learning concepts and the role played by data. We’ll explore use cases, discuss how to build smart applications, and review the AWS frameworks and services you can use for machine learning.

AWS Machine Learning Overview

Course duration: 5 min

This course introduces Amazon Machine Learning and AI tools that enable capabilities across frameworks and infrastructure, machine learning platforms, and API-driven services. To do machine learning effectively, you need competencies across these key layers: the right data store, security, and resources for analytics.

Introduction to Amazon SageMaker

Course duration: 10 min

Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models. In this introductory course, we’ll provide an overview of Amazon SageMaker and look at the service’s three main components: notebooks, training, and hosting.

AWS Marketplace solutions

Build intelligent applications with machine learning and data science software.

Capturing the potential of machine learning applications requires innovation in technologies and business models, as well as investment in new capabilities and talent. You can now look to AWS Marketplace to help find, buy and deploy Machine Learning and AI software solutions from popular software vendors.


Join forces with an AWS Competency Partner.

The APN Competency Program is designed to provide AWS Customers with APN Partners who have demonstrated technical proficiency and proven success in specialized solutions areas. Partners who’ve attained APN Competency offer a variety of services, software, and solutions on the AWS Cloud.

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Interested in learning more? We're here to help you start making data-driven decisions.