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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Kaplan Containers Case Study
Using Amazon ECS, Kaplan Test Prep automated Docker-container provisioning on AWS, cutting deployment times to minutes and reducing infrastructure costs by 40 percent. A leader in the test-preparation industry, Kaplan offers preparation for more than 100 standardized tests and licensing exams. The company uses Amazon ECS for container management and AWS CloudFormation for its automated container-provisioning platform.
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AWS Case Study: DXL
Destination XL (DXL) is the largest specialty retailer of big and tall men’s apparel in the United States, operating more than 200 retail and outlet stores that carry more than 2,000 private label and name-brand styles. The company was looking for a platform that would allow it to extend its in-store customer experience to online shoppers, and chose AWS.
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Mercado Libre Case Study
Mercado Libre is an e-commerce retailer 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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Aon Case Study
Aon Securities Inc. (ASI), a financial services provider, needed high-powered computing to run financial simulations to value and manage insurance retirement products. The company turned to AWS to run its financial simulation platform to reduce simulation time by leveraging GPU optimized instances. As a result, ASI has been able to lower the calculation and total reporting process time from 10 days to 10 minutes.
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Shoptimize Case Study
By developing its SaaS platform on AWS instead of on premises, Shoptimize has reduced IT costs by at least 30 percent and in turn, increased customers’ profitability. Shoptimize delivers an end-to-end ecommerce platform to leading brands; to establish their online presence and grow website sales. Its solution spans across technology, marketing, analytics and marketplace management. The company’s SaaS platform runs on Amazon EC2 instances with Amazon RDS providing database services and Amazon Kinesis delivering clickstream data from website visits, online marketing campaigns, and social-media interactions.
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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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