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  • AWS Case Study - Hubble Connected

    By using AWS, Hubble Connected is helping people transform their households by installing connected devices that enable owners to control the home environment through voice commands or smartphone apps. Hubble Connected provides the Hubble platform as a service that delivers the backend infrastructure for manufacturers’ smart devices. Hubble runs on the AWS Cloud with services such as Amazon EC2 powering its applications, Amazon S3 storing billions of objects, and Amazon DynamoDB storing all metadata events.

  • AWS Case Study - Weintek

    Weintek integrates Internet of Things (IoT) capabilities into its HMI service to help customers optimize machine performance. Weintek manufactures human-machine interfaces (HMIs), which allow people to control machine processes and monitor performance through a touchscreen interface. Weintek uses AWS IoT Core to enable the IoT capabilities of HMI and EasyAccess 2.0, with Amazon EC2 instances supporting web and authentication services.

  • 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.

  • AWS Case Study: LG Electronics

    LG Electronics (LG) launched LG ThinQ—a global brand of home appliances, consumer electronics, and services featuring artificial intelligence technology. LG manufactures home appliances such as TVs, refrigerators, and cooling fans.The Internet of Things (IoT) platform supporting LG ThinQ runs on AWS IoT Core, with Amazon ElastiCache and Amazon DynamoDB used for data services.

  • Bayer Crop Science Case Study

    Bayer Crop Science uses AWS IoT to deliver real-time crop data analysis and support new corporate IoT initiatives. The company offers products and services to enable sustainable agriculture for farmers worldwide. Bayer Crop Science uses a new IoT pipeline based on the AWS IoT platform to collect and analyze seed data from fields across the globe.

     

  • bigfinite case study

    Using artificial intelligence, machine learning, and big data on AWS, Bigfinite helps pharmaceutical makers increase the accuracy and efficiency of their manufacturing processes while maintaining regulatory compliance. Bigfinite develops software-as-a-service (SaaS) applications for industrial processes in biotech and pharma and other regulated industries. The company uses Amazon Athena for serverless querying of Amazon S3 data and incorporates advanced cloud technology into its big-data analytics platform, using AWS services including Amazon Elastic MapReduce, AWS Lambda, and Amazon Machine Learning.

  • CAF Case Study

    Spanish rail solutions company CAF delivers predictive maintenance capabilities for its LeadMind Platform in just eight weeks with AWS. CAF Rail Services help customers reduce the life-cycle costs of its trains. AWS IoT Core collates sensor data from trains, Amazon Kinesis ingests the data, and then Amazon Redshift stores it for analysis.

  • Centratech Systems Case Study

    Since moving to the AWS IoT environment, Centratech Systems has reduced training time for new customers from six hours to one, and has vastly expanded its customer base through an estimated 66 percent reduction in device costs. Centratech Systems is an Australian provider of wireless monitoring and control systems used by local governments to manage water, pumping, and electricity applications. The company relies on Amazon EC2 instances to host its software used with legacy hardware, and it has recently shifted to the AWS IoT platform to manage newer, lighter, and less costly smart devices in the field.

  • ENEL Case Study

    By using AWS, Enel is saving 21 percent on compute costs and 60 percent on storage costs, has reduced provisioning time from four weeks to two days, and has transformed its business. Enel is an Italian multinational manufacturer and distributor of electricity and gas that serves 61 million customers. Enel uses AWS as its platform for IoT and energy management. Fabio Veronese, Head of Infrastructure and Technological Services, spoke onstage at re:Invent 2016.

  • Environmental Monitoring Solutions (EMS) Case Study

    Petroleum retailers in Australia are improving the performance and safety of their service stations with an AWS IoT–enabled solution called Fuelsuite from EMS. EMS specializes in solutions that provide petrol retailers with performance data gathered from sensors located around petrol stations. Fuelsuite uses AWS IoT Device Management to control the edge devices collecting petrol station data, processes the data with Amazon EC2, and schedules messages to and from the edge devices by using Amazon SQS.

  • HelloFresh Case Study

    HelloFresh, the leading company worldwide in meal-kit delivery, sends boxes loaded with delicious ingredients and matching recipes straight to your doorstep. Founded in Berlin, the company quickly expanded internationally and currently serves over one million households in eight countries. For further developing it's IT sector, HelloFresh was looking for a best in class partner that is similarly flexible and efficient. As a result, in December 2014, HelloFresh partnered with AWS and incorporated services like Amazon Cloudfront, EC2, RDS and Route 53 into its business operations. These services improve operational efficiency, facilitate global collaboration among employees and allow HelloFresh to better serve its customers worldwide by reducing package delivery times.

     

  • IDEXX Case Study

    IDEXX uses AWS to deliver a wide range of solutions for veterinary practices. IDEXX is a global leader in veterinary diagnostic equipment and reference laboratory services. The company uses AWS IoT to identify equipment-maintenance needs, stores and serves millions of images weekly with its Image Manager service leveraging Amazon S3, and built an enterprise data lake using Amazon EMR.

  • Kemppi Case Study

    Kemppi used AWS to bring its IoT solution for its flagship welding machine to market and cut the cost of software development by approximately 50 percent. The Finnish company, with a history of innovation, designs and manufactures welding equipment and application software. It launched its IoT-enabled machine using AWS technologies including AWS IoT Core, AWS Lambda, and Amazon Elasticsearch Service.

  • Pentair Case Study

    Pentair increases beer filtration system performance by 10 percent, reduces costs, and increases predictability for filtration processes. The company is a global provider of water filtration systems equipped with sensors to breweries, fish farms, and other industrial and commercial customers. Pentair runs its beer membrane filtration system on AWS IoT, taking advantage of AWS Greengrass to ensure location data connections are not lost and using AWS IoT Core to process data from remote facilities.

  • People in Need Case Study

    People in Need is using AWS to scale an early warning system in Cambodia that alerts about 400,000 subscribers when floods threaten. Based in the Czech Republic, People in Need is a nongovernmental, nonprofit organization engaged in humanitarian and development work in more than 20 countries. The People in Need early warning system runs both sensor technology and an open-source IVR solution using Amazon EC2, AWS Elastic Beanstalk, Auto Scaling, and Elastic Load Balancing.

  • Siemens Mindsphere Case Study

    Siemens has deployed an IoT environment at a plant in Mexico in less than eight weeks, which will help it double efficiency. The company is Europe’s largest industrial manufacturer with a global workforce of more than 377,000 and annual revenue exceeding €80 billion. It uses the Siemens MindSphere Internet of Things platform, which is hosted on AWS, to connect its production machines to the AWS Cloud.

  • Syskron X Case Study - Amazon Web Services (AWS)

    Syskron X, subsidiary of Krones AG, develops digital end-to-end solutions for production lines and uses AWS services to help customers in the food and beverage industry to optimize their supply chain.

  • Under Armour Case Study

    Under Armour can scale its Connected Fitness apps to meet the demands of more than 180 million global users, innovate and deliver new products and features more quickly, and expand internationally by taking advantage of the reliability and high availability of AWS. The company is a global leader in performance footwear, apparel, and equipment. Under Armour runs its growing Connected Fitness app platform on the AWS Cloud.

  • 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.

  • Visy Case Study

    Visy has increased the performance of its business-critical SAP environment by moving to AWS—increasing database and application performance by 28 percent and 46 percent, respectively. Visy is a global leader in packaging and recycling solutions. The organization runs its SAP infrastructure on Amazon EC2 X1 instances with Amazon S3 and Amazon EBS for data storage, and Amazon Redshift supporting real-time business reporting. 

  • Zimplistic Case Study

    Zimplistic is driving sales of its Rotimatic robot kitchen appliance worldwide with the support of AWS. The startup developed the Rotimatic device, which prepares freshly baked rotis—flatbreads—in less than a minute. Rotimatic is IoT-enabled using AWS IoT Core, which ensures that data passes securely and reliably from the Rotimatic devices to cloud applications running on Amazon EC2 instances, and the company relies on AWS Lambda for data processing.