Innovate with machine learning
Whether you are looking to enhance your customer experience, improve productivity, optimize business processes, or accelerate innovation, Amazon Web Services (AWS) offers the most complete set of artificial intelligence (AI) and machine learning (ML) services to meet your business needs. With readily available AI services, you can add AI capabilities to your business applications—no ML experience required—to address common business challenges. Data scientists, data engineers, and business analysts can also prepare data and build, train, and deploy their own ML models quickly with Amazon SageMaker, an end-to-end service for any ML use case offering fully managed infrastructure, tools, and workflows.
That’s why more than a hundred thousand customers, from the largest enterprises to the hottest startups, choose AWS AI and ML services more than any other cloud offering.
Learn how AWS customers are using machine learning ›
See how AWS customers are applying ML to solve unique problems (02:14)
GE Healthcare uses deep learning on AWS to improve the accuracy of X-ray imaging procedures while also lowering re-admission rates
Intuit uses machine learning on AWS to automatically identify new tax deductions for its customers, saving each an average of $4,300
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Formula One delivers exciting insights to television viewers by analyzing race data in real-time with Amazon SageMaker
Mueller Water Products, Inc. (Mueller) uses machine learning on AWS to give its customers a more accurate view of critical water data and expand technology’s role in water infrastructure
Explore common use cases
Add intelligence to your contact center
Enhance your customer service experience and reduce costs by integrating ML into your contact center
ChartSpan, the largest chronic care management service provider in the US, decreased cost by 80 percent and increased staff utilization by 12 percent
Personalize recommendations
Improve customer engagement and conversion by creating personalized web experiences through recommendations, curated content, and targeted marketing promotions
Lotte Mart, a leading South Korean hypermarket, saw a 5x increase in response to recommended products
AI Use Case Explorer
Find your path to AI success with our AI Use Case Explorer. Discover the top AI use cases, customer stories, and implementation paths based on your business objectives
Get started with these resources
Start your machine learning journey
Through inspiring stories of industry leaders and insights from AWS experts, you will learn how to apply 6 practical steps to chart out a successful ML strategy
7 leading machine learning use cases
ML has moved beyond the hype to become a meaningful driver of value. Discover 7 common use cases that deliver fast, efficient, measurable results
Speed up innovation with AI and ML
Explore the path to successfully implementing AI and ML initiatives in this Harvard Business Review briefing paper
Accelerate your machine learning journey
Engage with Amazon experts
Build new ML solutions with confidence using the Amazon Machine Learning Solutions Lab, which pairs your team with Amazon ML experts to ensure optimal outcomes
Build machine learning skills in your organization
Bridge the ML skill gaps in your organization using the same curriculum we use at Amazon—be it business executives, data scientists, or app developers. On-demand digital training available at no cost
Choose the right machine learning partner
Explore and build the right solutions to take your business forward with a range of consulting services and technologies from AWS ML partners
The most complete set of artificial intelligence and machine learning services
Choose from the broadest and deepest set of services that match your business needs—from end-to-end solutions and pretrained AI services to building your own models on fully managed infrastructures
