GE Healthcare uses Amazon SageMaker to build machine-learning models that help healthcare providers identify health issues faced by people around the world. The company runs its GE Health Cloud—which connects to 500,000 imaging devices—on AWS and uses Amazon SageMaker to ingest de-identified data, store that data compliantly, orchestrate work across teams, and build deep-learning algorithms to identify critical health conditions.
Peloton relies on AWS to power its on-demand, live leaderboard. Learn More>>
Cerner chose AWS to power its machine learning and artificial intelligence. Learn More>>
Expedia is all in on AWS, with plans to migrate 80 percent of its mission-critical apps. Learn more »
Atlassian uses AWS to scale its issue-tracking software applications and enhance its disaster recovery and availability. Learn more »
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Enterprises
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Startups
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Public Sector
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Big Data
Collect and process colossal amounts of data quickly and cost-efficiently.
Financial Industry Regulatory Authority
FINRA uses AWS to capture, analyze, and store a daily influx of 75 billion records.
Unilever
Unilever uses AWS to launch and analyze digital marketing campaigns faster.
The Kellogg Company
Kellogg's uses AWS to to deliver spend analyses and data simulations in minutes.
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Data Center Migration
Migrate your on-premises workloads to AWS.
AOL
Using AWS, AOL has been able to move mission-critical workloads to the cloud, extend its global reach, and save millions of dollars on energy resources.
Conde Nast
In just three months, Condé Nast was able to migrate over 500 servers, one petabyte of storage, various mission critical applications, and over 100 database servers into the AWS Cloud.
InfoSpace
Using AWS, InfoSpace migrated its full data center within 6 months and can now easily manage its Microsoft stack on AWS.
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Enterprise Solutions
Run common and custom business applications securely and reliably.
General Electric
GE is migrating more than 9,000 workloads, including 300 disparate ERP systems, to AWS while reducing its datacenter footprint.
Brooks Brothers
Brooks Brothers runs its SAP and CRM solutions on AWS, gaining agility and cost savings.
Intuit
Intuit is saving money by moving its business applications to AWS.
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Financial Services
Accelerate agility, enable innovation, and protect sensitive data.
Pacific Life Insurance
Pacific Life uses AWS as part of a hybrid computing environment to control IT costs.
Intuit
Using AWS enables Intuit to reach new markets, speed development, and better serve its customers.
Robinhood
Robinhood built its brokerage trading platform and a massively scalable securities trading app on AWS.
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Healthcare & Life Sciences
Enable agile research, collaboration, product development, and sales.
Centers for Disease Control
Using AWS, the CDC shares health information widely while avoiding hardware investments.
Siemens Healthcare Diagnostics
Siemens has built a secure, HIPAA-compliant, scalable platform on AWS.
Brisol-Myers Squibb
BMS used AWS to build a frugal, secure, self-provisioning research portal.
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Internet of Things (IoT)
Easily and securely connect devices to the cloud.
Enel
Enel is saving on compute and storage costs, reduced provisioning time, and has transformed its business.
Rachio
Rachio processes millions of IoT messages daily and has cut development costs by 40 percent using AWS.
iRobot
iRobot uses AWS to support its vision for products used in connected homes, including its popular Roomba vacuum cleaners.
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Machine Learning (ML) & Artificial Intelligence (AI)
Machine Learning in the hands of every developer and data scientist.
Capital One
Using AWS, Capital One turns data into insights through machine learning, allowing the company to innovate quickly on behalf of its customers.
Intuit
Intuit uses Amazon SageMaker to train its machine-learning models quickly and at scale, cutting the time needed to deploy the models by 90 percent.
Formula 1
Formula 1 uses Amazon SageMaker to analyze race data in real time, then shares the insights with television viewers.
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Web & Mobile Apps
Build and scale high-performance websites and mobile applications.
Pinterest
Pinterest uses AWS to manage multiple petabytes of data and perform daily refreshes of its massive search index.
Airbnb
Airbnb's web and mobile apps run on AWS and scale automatically to support demand.
PhotoVogue
PhotoVogue uses Amazon API Gateway to boost the user experience up to 90 percent faster.
Discover what customers are doing with AWS today
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Tae Sung S&E Case Study
TAE SUNG S&E launched its eTSNE Cloud service to help customers to lower simulation costs by 75%. TAE SUNG S&E is a Korean computer-aided engineering company that also offers training and consulting services. It uses Amazon RDS for MySQL, Amazon S3, and Amazon EC2 to speed development.
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Kmong Case Study
Kmong built a data pipeline using AWS, leading to 30% higher conversion and 40% lower churn. Kmong is Korea’s first business services marketplace, with 170,000 experts in 11 categories and US$42 million in transactions. Kmong uses Aurora, EMR, Redshift, and QuickSight to launch new services faster.
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zipMoney Case Study
By using AWS to build a data lake, zipMoney can gather unique customer insights that vastly improve its underwriting process, pushing the boundaries of analytics with artificial intelligence and machine learning. zipMoney is an Australian fintech startup offering instantaneous, virtual lines of credit to consumers upon checkout at stores or on e-commerce sites. The firm relies on Amazon EMR and Amazon Elasticsearch Service to process and query vast amounts of data, Amazon S3 buckets to store such data, and Amazon DynamoDB to support its applications with low latency.
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Urbanbase Case Study
Urbanbase sped development by 100x and launched services 20x faster with AWS. Urbanbase is a spatial data platform company that reimagines 3D space with AR and VR. Urbanbase uses Amazon SageMaker with Amazon S3 and AWS Lambda to speed analysis platform development.
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Capillary-Technologies-Case-Study
Running its omnichannel platforms on AWS has allowed Capillary to keep costs low, easily launch in new markets including China, and continuously innovate its products. Founded in India and now headquartered in Singapore, Capillary Technologies is a global company offering CRM and e-commerce platforms that enable omnichannel customer engagement. The company uses AWS CloudFormation templates to launch in new countries and Amazon EMR to generate analytics and reports.
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University of Notre Dame Case Study
The University of Notre Dame protected its critical systems while maintaining compliance using N2WS software from AWS Marketplace. The school is a 176-year-old private research institution and one of the top religiously-affiliated schools in the U.S. It uses N2WS Cloud Protection Manager to back up its systems and restore Amazon EC2 instances when needed.
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iRobot Case Study
iRobot handles 20x traffic spikes with no problems by using an IoT backend running on AWS. A leading global consumer robot company, iRobot designs and builds robots that empower people to do more both inside and outside the home. The company connects its Roomba vacuums to the cloud using AWS Lambda, Amazon Kinesis, and AWS IoT in a serverless architecture.
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Science Exchange Case Study
Science Exchange uses AWS to provide an online marketplace for scientific services through which scientists can outsource and accelerate R&D activities. Tens of thousands of pharma and biotech scientists use Science Exchange’s technology platform to discover, request, order, manage, and pay for R&D services. The company uses Amazon Redshift for data warehousing, processing, and analytics, and it takes advantage of Amazon Kinesis Data Firehose, AWS Lambda, and Amazon Simple Storage Service (Amazon S3) to load, process, and import data into Amazon Redshift storage. The company also uses Amazon RDS for MySQL to store customer data.
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EagleView Case Study
EagleView re-architected its image-processing system to take advantage of Amazon EC2 Spot Instances, saving an average of 80% over On-Demand instances. EagleView uses aerial imagery combined with machine learning, computer vision, and data analytics to extract data and provide insights to customers in construction, emergency response, and many other fields. The company built a distributed, event-driven application that uses Amazon EC2 instances as compute resources, Amazon SQS to queue processing jobs, and AWS Lambda as an orchestration layer.
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Amazon STEM Case Study
Amazon created a new personalized subscription service that selects educational toys based on a wide range of data. Amazon is the world’s leading online retailer. The company used AWS Lambda, Amazon API Gateway, and Amazon DynamoDB to create a scalable subscription service.
Ready to get started building and scaling your startup on AWS?
