Intuit is all-in on AWS and uses Amazon SageMaker to train its machine-learning models quickly and at scale, cutting deployment times by 90 percent. Intuit devlops accounting, financial, and tax-preparation software such as TurboTax, Mint, and Quickbooks. Nhung Ho, Head of Data Science at Intuit Quickbooks, spoke onstage at the 2018 AWS San Francisco Summit.
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 »
Discover what customers are doing with AWS today
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DXC Technology Case Study
DXC Technology uses AWS to cut provisioning time from three months to one week, automate software patching, reduce costs by two-thirds, and ensure high availability and reliability. The organization provides IT solutions and services to thousands of enterprises across the globe. DXC uses AWS CloudFormation templates to automatically deploy development environments, and relies on Amazon EC2 Systems Manager to automatically apply software patches to internal and external applications.
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Thomson Reuters Case Study
Thomson Reuters uses AWS as the platform for its Product Insight analytics solution, which can process more than 4,000 events per second and scales automatically to accommodate increases in traffic during breaking news. Thomson Reuters provides professionals with the intelligence, technology, and human expertise they need to find trusted answers. Product Insight captures and processes data using Amazon Kinesis and AWS Lambda, stores it using Amazon S3, and secures it using AWS Key Management Service.
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AWS Case Study: Haven Power
Haven Power serves the electricity needs of business customers in the East of England. The company began using AWS for disaster recovery, and has since migrated its billing services and data warehouse to AWS. By using AWS, the company has seen response times drop from 500 milliseconds to 80 milliseconds and saved significant upfront capital expenditure by deciding not to upgrade its on-premise data center.
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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.
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Monzo Case Study
Monzo has grown from an idea to a fully regulated bank on the AWS Cloud. A bank that “lives on your smartphone,” Monzo has already handled £1 billion worth of transactions for half a million customers in the UK. Monzo runs more than 400 core-banking microservices on AWS, using services including Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Block Store (Amazon EBS), and Amazon Simple Storage Service (Amazon S3).
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Harvard Medical School Case Study
The Laboratory for Personalized Medicine (LPM), of the Center for Biomedical Informatics at Harvard Medical School took the power of high throughput sequencing and biomedical data collection technologies and the flexibility of AWS to develop innovative whole genome analysis testing models in record time.
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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.
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Mercado Libre Case Study
Mercado Libre is an e-commerce platform based in Latin America. It operates in 16 countries and has 3,200 employees, 800 of which work in the IT division. The company needed a technological solution that did not hamper its developers and that could be adapted to existing tools, freeing up time to focus on creating and developing top products for customers. It now uses several AWS products including Amazon S3, Amazon EMR, Amazon Redshift for big data, and AWS Lambda, which, along with Amazon Kinesis, enables the development of real-time solutions quickly and easily.
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Trainline Case Study - AWS Support
Trainline leverage AWS Support to focus its energy on its product in order to provide a much better product set much more quickly than would be possible otherwise.
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