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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

    • ProteanTecs Case Study

      proteanTecs uses the AWS Cloud to run tens of millions of simulations in parallel, reduce costs by up to 60 percent, and concentrate on creating new products. The company, based in Israel, provides software and embedded sensors for predicting failures in electronic systems. proteanTecs runs its HPC workloads on AWS, relying on Amazon EC2 Spot Instances to lower costs.

    • Paddy Power Betfair Case Study

      Discover how international sports betting and gaming operator Paddy Power Betfair enlisted AWS Support to consolidate two data platforms into a single business performance tool following a merger and how AWS helps support major events that can see betting rates of up to five times higher than average.

    • Sensor Networks Case Study

      Sensor Networks is an insurance industry focused-IoT platform that drives reductions in risk and claims through smart sensors and predictive analytics. Julian Nkuna, Data Scientist at Sensor Networks describes how AWS enables Sensor Networks to build, train, and deploy machine learning models quickly.

    • AWS Partner Story: Stagecoach & VMware

      UK-based Stagecoach creates the scale and agility to meet future transport challenges. The business wants to transform its approach to IT, moving away from the ownership and management of hardware to create a more flexible, digital foundation. VMware Cloud on AWS now hosts some of Stagecoach’s most business-critical applications.

    • Scripps Network Interactive Case Study

      VMware Cloud on AWS allows Scripps Network Interactive, a mass media company formed as a spin-off of the E.W. Scripps Company’s cable TV and online assets, to migrate, run and protect mission-critical workloads at scale with far greater agility and flexibility than it had in the past, leveraging powerful benefits such as quick user adoption and superior disaster recovery options.

    • Davinci Case Study

      Davinci significantly boosts financial application performance, deploys customer applications in days instead of months, and enables compliance by using AWS. The company provides loan and mortgage software to financial institutions in the Netherlands and Belgium. Davinci migrated its Microsoft SQL Server–based application stack to Amazon Aurora PostgreSQL.

    • Axinom Case Study

      Axinom is a digital solutions provider that serves the media and entertainment industry with digital products focusing on the preparation, management, and security of digital content. Axinom products have powered some of the world’s biggest media, broadcast, and telecommunications organizations in launching scalable and robust OTT platforms around the globe.

    • Decisiv Case Study

      Decisiv uses AWS to ensure high availability for a critical commercial trucking application platform, double developer productivity, and increase scalability while enhancing security and compliance. The company provides service relationship management (SRM) and business intelligence solutions for commercial assets. Decisiv migrated its SQL Server–based SRM platform to AWS, taking advantage of Amazon RDS for Aurora for performance and scalability.

    • USG Boral Case Study

      USG Boral has developed an AI-powered safety solution on AWS to detect and prevent accidents from occurring, using near-real-time analytics with less than 300 milliseconds latency. Headquartered in Malaysia, USG Boral manufactures and supplies gypsum-based wall and ceiling systems. The company uses AWS IoT Greengrass and AWS IoT Core to connect forklifts to ML models on the cloud and takes advantage of Lambda@Edge to run code.

    • Dishtv-Case-Study

      By building its end-to-end OTT solution on AWS, DishTV was able to launch it in seven months compared to the industry average of 12 to 14 months. DishTV is an Indian satellite TV provider with 25 million active subscribers. The company uses AWS Elemental to process video content, Amazon ECS for container orchestration, and Amazon Rekognition to flag inappropriate content on user-driven channels.

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