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    GE_Healthcare

    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.

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    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 »

    • Enterprises

    • Startups

    • Public Sector

    • 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.

    • 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.

    • 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.

    • 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.

    • 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.

    • 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.

    • 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.

       

    • 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

    • Al Tayer Group Case Study

      Al Tayer Group relies on AWS to scale to meet 50 percent web traffic growth, reduce operational costs by 79 percent, and focus on development instead of infrastructure management. The organization is a privately held holding company with operations in six countries in the Middle East. Al Tayer Group runs four e-commerce websites and a website platform on AWS, taking advantage of Amazon EC2 Spot Instances to reduce costs.

    • Skyscanner Case Study - AWS Support

      AWS Support helps Skyscanner to ensure it has the right balance for its for its large volume of EC2 instances (reserved, on-demand, and spot) to make sure its business is optimized for both performance and cost.

    • Third Rock Ventures Case Study

      Machine learning is increasingly used to support therapeutic discovery at biotech companies. Third Rock Ventures is a venture firm that builds and launches biotech companies that accelerate scientific discoveries and transform patient lives. Dozens of Third Rock portfolio companies make use of AWS services to support their infrastructure, data science, bioinformatics, and machine-learning initiatives. Amazon Elastic Compute Cloud (Amazon EC2) along with flexible storage modalities such as Amazon Elastic File System (Amazon EFS) and Amazon Elastic Block Store (Amazon EBS) empower teams to aggregate complex, semi-structured datasets. Amazon SageMaker notebooks provide a cloud solution for reproducible, easy to implement data science workflows. Similarly, Amazon Comprehend Medical makes it easy to structure medical text data, which enables biotech companies to better collaborate with clinical partners and identify opportunities to serve patients


    • Apixio Case Study

      Apixio uses machine learning to analyze structured and unstructured health data sets to model the quality of patient care. Apixio is a data science company for healthcare that extracts and analyzes data from health records to generate longitudinal insights into patient health. Apixio’s machine learning platform was used to analyze over 4.5 million health charts in 2018, and reduces the time and effort to code health charts by 80%. The company builds its cloud infrastructure and machine learning platform using Amazon Elastic Compute Cloud (Amazon EC2) and relies on Amazon EC2 Spot Instances to take advantage of unused cloud capacity and control costs. The company also stores 2 petabytes of data on Amazon Simple Storage Service (Amazon S3).

    • AWS Case Study: AbiBird

      With AWS, AbiBird delivers a global solution that will help elderly people live independently at home. AbiBird provides a service that uses smart sensors that monitor lifestyle routines of elderly people at home without intruding on their personal privacy. The backend for the service uses AWS Lambda and AWS IoT Core to ingest, process, and distribute data from the sensors.

    • HappyFresh Case Study

      Startup HappyFresh meets traffic peaks—when sales double on average after successful campaign launches—and cost-effectively introduces ML to support personalization with AWS. HappyFresh partners with supermarkets and food stores that use the HappyFresh platform to offer online grocery shopping. The company uses services such as AWS Lambda to support fraud detection and Amazon SageMaker for ML-based personalization.

    • Joongonara Case Study

      Joonggonara improved time-to-market by 4x and enhanced its customer experience. Joonggonara is Korea’s largest online used goods commerce platform. It runs Amazon RDS on Amazon EC2 to improve availability and uses Amazon Elastic MapReduce with Amazon Elasticsearch Service to improve searches.

    • Deputy Case Study

      Launching its software on the AWS Cloud has given Deputy the compute power, innovative managed services, and global footprint needed to expand its business to 100,000 customers in 10 years. Deputy is an independent software vendor based in Sydney, Australia, offering an automated-scheduling solution to streamline workforce management. The company uses AWS Lambda for serverless computing, Amazon Rekognition for facial analysis, and Amazon Redshift as a data warehouse.

    • Spring Venture Group Case Study

      Using AWS Services, Spring Venture Group meets the growth demands required of the sector it serves. Spring Venture Group is the largest U.S. direct-to-consumer brokerage of Medicare insurance services. The company uses AWS Service Catalog to ensure fast server provisioning that complies with Amazon HIPAA BAA.

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