Using AWS’s high-performance-computing capabilities, Autodesk can scale the use of generative design to run hundreds of simultaneous simulations with complex parameters. Autodesk develops software for the engineering, design, and entertainment industries. Brian Mathews, VP of platform engineering at Autodesk, spoke onstage at re:Invent 2017.
DigitalGlobe went all in on AWS to meet the growing demand for commercial geo-intelligence. Learn More>>
PG&E is using the breadth and depth of AWS services to drive its enterprise migration. 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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Ascension and PokitDok Case Study
Using AWS, Ascension and partner PokitDok provide customers with real-time cost estimates for their healthcare needs, and were able to create and deploy the application within a matter of weeks. Ascension is a nonprofit healthcare organization in the United States, providing more than $1.8 billion for care of persons living in poverty and other community-benefit programs. PokitDok is a cloud-based healthcare API platform. Together, both companies rely on AWS to quickly launch new products and bring them to scale without the worry of downtime.
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UK Data Service Case Study
The UK Data Service is using Amazon Web Services to provide highly secure access to data via scalable APIs, providing new ways for researchers, citizens, policymakers, and businesses to get value from the United Kingdom’s data resources. The UK Data Service provides unified access to the United Kingdom’s largest collection of social, economic, and population data. The Service will ingest data using a customized open-source infrastructure running on Amazon EC2, hosting the cloud portion of its data lake on Amazon S3.
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Jumpshare Case Study
By using AWS, Jumpshare has reduced its IT costs by 70 percent while lowering IT management time by 30 percent. Jumpshare provides a file-sharing service to creative professionals, enabling them to view files online in hundreds of formats and collaborate on work together. The company runs its file-conversion servers on Amazon EC2 instances with Amazon S3 storing thumbnails of the files, Amazon RDS holding customer data, and Amazon SQS scheduling file conversions on the servers.
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Zendesk Case Study
Zendesk develops and trains deep-learning applications on AWS to deliver new capabilities to customer-service organizations and scale to support for current and future application demand. The company provides an online customer support platform used by more than 114,000 companies across the globe. Zendesk relies on AWS GPU instances and the TensorFlow deep-learning framework to create new applications for customers.
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Waters Case Study
Waters is bringing its regulated laboratory customers to the AWS Cloud for increased global agility and simplified relationships with outsourcing partners, helping its customers drive their businesses forward. The company is a leading worldwide provider of specialty measurement technologies, delivering benefits through innovations and people that enable customer success in materials, food, and life sciences. Waters uses AWS CloudFormation templates to provision the AWS infrastructure—including Amazon EC2, Amazon EBS, and Amazon S3—that its Empower Cloud runs on.
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Royal Dutch Shell Case Study
Relying on AWS as its infrastructure provider of choice for its Splunk Enterprise cybersecurity solution, Royal Dutch Shell matured a large data lake for historical analysis. Headquartered in the Netherlands, Royal Dutch Shell is a British-Dutch multinational oil and gas company with operations in more than 70 countries and an interest in 22 refineries around the globe. The company uses Amazon EC2 and Amazon EBS for its Splunk environment on AWS, which helps it find more than twice as many events that could have resulted in security incidents and breaches.
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ViaSat Case Study
Viasat built a business-critical data-ingestion platform using AWS, adopting Amazon EBS st1 volumes for optimal I/O performance and simplified storage management. Viasat is a satellite-communications provider that connects residential customers, flight passengers and crews, and military operations across the globe to the internet through trusted communications ground services, infrastructure, and personnel. The company runs Apache Kafka on Amazon EC2 using Amazon EBS storage.
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Custora Case Study
Custora reduced its operational burden, eliminated downtime, and increased the speed of onboarding new customers by shifting client data to Amazon EFS. Custora is an advanced customer-segmentation platform built for retail, enabling marketing and CRM teams to easily create targeted customer lists to improve ROI for email, display ads, Facebook, and direct-mail campaigns. Custora uses Amazon EC2 for ingestion and analysis of large data sets, and Amazon EFS storage for its data-ingestion and analytics pipelines.
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Bambuser Case Study
Bambuser used Amazon EFS to quickly and simply shift its video servers to the AWS Cloud, avoiding the need to build its own automated video-migration and orchestration processes. The company provides real-time mobile content sharing for organizations and app developers. Bambuser writes videos to and transcodes them on Amazon EFS, stores them in Amazon S3, and serves them on demand with Amazon CloudFront.
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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.
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