Machine Learning on AWS
Get deeper insights from your data while lowering costs with AWS machine learning (ML). AWS helps you at every stage of your ML adoption journey with the most comprehensive set of artificial intelligence (AI) and ML services, infrastructure, and implementation resources.
Solve real-world business problems in any industry and innovate with confidence. Join more than 100,000 AWS customers building on 20+ years of experience at Amazon.
Build new applications with generative AI using popular foundation models or use services with generative AI built in, all running on the most cost-effective cloud infrastructure for generative AI.
Address common business problems to improve customer experience, optimize business processes, and accelerate innovation. Use ready-made, purpose-built AI services, or your own models with AWS ML services.
Get the support you need along every stage of your ML journey. Kick off your proof of concept with AWS experts, work with 80+ competency partners, and upskill your teams with trainings and hands-on tutorials.
Solutions to help enhance customer experiences, enable faster and better decision-making, and optimize business processes.
The easiest way to build and scale generative AI applications with foundation models.
Purpose-built AI services for speech, vision, documents, and more so developers can get started without any ML experience.
Fully managed infrastructure, tools, and workflows for data scientists and ML developers.
Tools to generate predictions using ML for business analysts across marketing, sales, operations, and finance.
High-performance and low-cost instances optimized for machine learning.
Up to 10x
Increase customer satisfaction through conversational AI interfaces
Streamline self-service processes and reduce operational costs through chatbots and virtual assistants.
Enhance the customer service experience
Infuse intelligence into your contact center and reduce costs with automated ML.
Personalize customer recommendations
Drive customer engagement and conversion with websites tailored to individual visitors—and see your conversion rates soar.
Automate document data extraction and analysis
Instantly extract text and data from virtually any document, such as loan applications and medical forms, without manual effort.
Boost information accuracy and speed
Compile data from siloed and unstructured sources across your organization to drive business productivity and customer satisfaction.
Maximize the value of media
Apply ML to videos, webpages, APIs, and more to enhance discovery, localization, compliance, and monetization.
Improve business metrics analysis
Use ML to accurately forecast sales, financial, and demand data, and automatically identify anomalies and their root cause.
Identify fraudulent online activities
Detect and prevent online fraud, such as fake accounts and payment fraud in real-time using ML.
Add intelligence to your developer operations
Build fast and innovate more with Next Gen DevOps.
Modernize your machine learning development process
Accelerate machine learning innovation at scale while reducing costs.
Healthcare and life sciences
Unlock hidden potential in your health data with HIPAA-eligible ML—for petabyte-scale analysis and fast unstructured text and speech documentation.
Learn more: ML for Healthcare
Industrial and manufacturing
Detect abnormal machine behavior, spot defects, enable predictive maintenance, and improve operations with purpose-built Industrial AI services—no ML experience required.
Learn more: ML for Industrial
Innovate with ML across banking, payments, capital markets, and insurance sectors to improve customer experience with personalization, and virtual assistants and prevent online fraud.
Learn more: ML for Financial Services
Explore AWS machine learning services
Automated data extraction and analysis
Improve customer experience
Code and DevOps
Infrastructure and frameworks
Education and enablement
AstraZeneca accelerates time to insights using Amazon SageMaker.
Bundesliga enhances the fan experience using Amazon Personalize.
Broadridge advances the proxy voting data process using AI on AWS.
United Airlines streamlines the travel experience using AWS-powered applications.
Koch Ag and Energy Solutions reduces unplanned downtime using AI on AWS.
Responsible use of artificial intelligence and machine learning
Responsible use of AI and ML is key to tackling some of humanity’s most challenging problems, augmenting human performance, and maximizing productivity. AWS is committed to developing fair and accurate AI and ML services and providing you with the tools and guidance needed to build AI and ML applications responsibly.
Accelerate your machine learning journey
Engage with Amazon experts
The Amazon Machine Learning Solutions Lab pairs your team with Amazon ML experts to build new ML solutions for your business.
Build ML Skills in your organization
Build new ML skills in your organization using the same curriculum we use at Amazon—be it business executives, data scientists, or app developers.
AWS DeepRacer League
Expand your ML skills by competing in the world’s first global, autonomous racing league, and win prizes as well as a chance to advance to the Championship Cup.