AI|ML across Industries
From the world's largest enterprises to emerging start-ups, more machine learning is built on AWS than anywhere else. AWS customers use machine learning to improve the quality of healthcare, fight human trafficking, provide better customer service, and protect you from fraud.
-
4:01Watch VideoHow AWS is changing Business with AI
Learn why more machine learning is deployed on AWS than anywhere else, and how your developers can quickly and easily build, train, and deploy machine learning models.
-
1:52Watch VideoAutomotive: Drive.ai
Drive.ai relies on AWS for their high-performance IT Infrastructure so they can focus on what they do best - building the brains behind the self-driving car.
-
2:01Watch VideoAutomotive: Creating Personalized Intelligent Brand Experiences
In this video, discover how AWS can be used to create your own intelligent, personalized in-vehicle experiences for your customers.
-
1:05Watch VideoAutomotive: Audi, Zerolight and AWS
AT CES2019, Audi, Zerolight and AWS showcased a revolutionary Automotive customer engagement platform using AWS EC2 to deliver customized content on-demand and real-time machine learning.
-
2:45Watch VideoFinancial Services: Capital One
Using AWS, Capital One turns data into insights through machine learning, allowing the company to quickly innovate on behalf of its customers.
-
See how 10,000+ customers innovate with AWS AI
Learn More » -
2:05Watch VideoHealthcare: Babylon
Watch Dr. Ali Parsa, CEO and founder at Babylon, discuss how AWS allows the company to innovate with artificial intelligence and scale globally.
-
9:23Watch VideoHealthcare: GE Healthcare
GE Healthcare is using Amazon SageMaker to build, train, and deploy machine-learning models that help care providers identify health issues faced by people around the world.
-
10:00Watch VideoHealthcare: Cerner
Cerner uses AWS and big data to gain actionable, real-time insights, simplifying healthcare delivery while reducing costs for payers, providers, and patients.
-
Read MoreLife Sciences: Life Science Manufacturing
-
Amazon SageMaker: ML for every developer and data scientist
Get Started » -
1:26Watch VideoManufacturing: Georgia Pacific
Learn how Georgia-Pacific optimizes processes and saves millions of dollars yearly using AWS Machine Learning.
-
9:47Watch VideoManufacturing: Fender
Fender went all in on AWS to better engage with customers and gain supply-chain efficiencies.
-
3:36Watch VideoSmart Factory and Manufacturing with AWS Cloud
Digitally transform your manufacturing operations with the AWS Cloud to optimize production, speed time-to-market, and deliver innovative products and services. Learn more about AWS for manufacturing
-
AI|ML for Developers
Learn More » -
10:07Watch VideoMedia & Entertainment: Formula 1
Formula 1 is using AWS machine-learning and data-analytics services to change the way racing fans interact with the sport, predict car performance, and bring better information to fans.
-
12:10Watch VideoMedia & Entertainment: NFL
NFL leverages AWS’s broad range of cloud-based machine learning capabilities to take its advanced stats to the next level and deliver deeper insights to fans.
-
3:24Watch VideoNon-Profit: Thorn
Thorn developed Spotlight, an app that helps law enforcement close trafficking cases much faster than by using traditional manual methods.
-
6:10Watch VideoTravel: Expedia Group
Expedia Group created deep learning algorithms run on Amazon EC2 P3 instances to find and showcase relevant and high quality hotel pictures from 10’s of millions of photos.
-
AI|ML for Business
Learn More » -
Loading More...
