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AWS re:Invent 2017 - Autodesk’s Brian Mathews on Envisioning the Future with Generative Design

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.

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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 »

  • Enterprises

  • Startups

  • Public Sector

  • Big Data

    Collect and process colossal ammounts 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 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.


    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.


    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 is saving money by moving its business applications to AWS.

  • Financial Services

    Accelerate agility, enable innovation, and protect sentitive data.

    Pacific Life Insurance

    Pacific Life uses AWS as part of a hybrid computing environment to control IT costs.


    Nasdaq delivers data on demand cost-effectively using AWS.


    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 is saving on compute and storage costs, reduced provisioning time, and has transformed its business.


    Rachio processes millions of IoT messages daily and has cut development costs by 40 percent using AWS. 


    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.


    DigitalGlobe uses Amazon SageMaker to handle machine learning at scale.


    Using Amazon Machine Learning, AdiMap built predictive models that extrapolate financial ad data for all publishers and advertisers, on all ad networks.


    Haptik incorporated Amazon Polly into the Haptik infrastructure. Amazon Polly turns text into lifelike speech. In effect, it lets developers build applications that can talk.  

  • Web & Mobile Apps

    Build and scale high-performance websites and mobile applications.


    Pinterest uses AWS to manage multiple petabytes of data and perform daily refreshes of its massive search index.


    Airbnb's web and mobile apps run on AWS and scale automatically to support demand.


    Spotify uses AWS's scalable IT to suport usage peaks and can launch new features faster.

Discover what customers are doing with AWS today

  • London Stock Exchange Group Case Study

    Using AWS, London Stock Exchange Group (LSEG) can accelerate time to market, optimize cost savings and take advantage of new revenue opportunities. Founded as The Royal Exchange in 1571, the London Stock Exchange (LSEG) is one of the oldest – and largest – capital market infrastructure businesses in the world. It offers a scalable new end-of-day data warehouse solution to thousands of customers by using AWS technologies such as Amazon Redshift, AWS Lambda, AWS Elastic Beanstalk, Amazon API Gateway, and Amazon Cognito.



  • Loyalty Lab Case Study MP

    Loyalty Lab delivers more value to its customers—and gets more value out of its own AWS services—by using the machine learning solution in AWS Marketplace. The company analyzes its clients’ customer data to help them better target their marketing and loyalty programs. Loyalty Lab uses on AWS to analyze data it stores in Amazon Redshift and Amazon S3.

  • MatchMove Case Study

    By using AWS and AWS Marketplace, MatchMove can securely set up global clients’ payment platforms within 48 hours, while meeting stringent compliance requirements from regulatory authorities. MatchMove is a platform-as-a-service (PaaS) company providing a fully supported mobile wallet that businesses can easily integrate with their own systems or applications. In addition to four AWS core services—Amazon EC2, Amazon S3, Amazon ElastiCache, and Amazon RDS—the company uses AWS Marketplace to quickly deploy third-party software that enhances product performance and protects clients’ financial data.

  • AWS Case Study: McDonalds Home Delivery

    Using AWS, McDonald's built Home Delivery—a platform to integrate local restaurants with delivery partners such as UberEats. McDonald's is the world’s largest restaurant company with 37,000 locations serving 64 million people per day. McDonald's built and launched the Home Delivery platform in less than four months using a microservices architecture.

  • AWS Case Study: The Washington Post Arc Publishing

    Arc Publishing (Arc) is a software-as-a-service (SaaS) platform built by the Washington Post that lets any media company take advantage of the scalable, flexible publishing platform The Washington Post built for its own newsroom. Arc is built as containerized microservices running on AWS. Docker containers and Amazon Elastic Container Service were critical in enabling the Washington Post to expand Arc into a multi-tenant architecture, scale rapidly, and increase the speed of development.

  • AWS Case Study: WeWork Fieldlens

    Fieldlens is a cloud-hosted construction-project management tool built by WeWork. After 810 days of uptime, the Amazon Elastic Compute Cloud instance running the monolithic FieldLens application failed, and the Fieldlens team realized it needed to make a big change in how it built and deployed environments. Using Docker containers and Amazon Elastic Container Service, the company migrated its entire application to run as containerized microservices on AWS in less than eight weeks.

  • AWS Case Study: FOX Digital Consumer Group

    Fox Digital Consumer Group uses containerized microservices running on AWS to build and deliver FOX NOW. FOX NOW is an application that streams millions of hours of digital content to consumers via web, mobile, and set-top devices. Using a common API layer powered by Amazon API Gateway and Network Load Balancer, Fox can decouple the frontend of FOX NOW from the backend content system, which it hosts on AWS using microservices.

  • Butterfleye Case Study

    Butterfleye is a cordless security camera for business and home that combine activity-based recording, facial recognition and military-grade technology to decide when to record and when to disarm, placing their products at the optimal intersection of security and privacy.
    By combining Butterfleye’s on camera facial functionality and Amazon Rekognition’s API, they are able to identify and tag millions of faces accurately. Their users can track family, employees, customers, etc and in cases there is a burglary, shoplifting, or an unusual event the perpetrators can be identified and reported. Amazon Rekognition allows them access to powerful image and facial analysis giving them a technological edge in the security camera market 

  • GoAnimate Case Study

    GoAnimate reduced costs for its text-to-speech (TTS) solution by 95 percent by choosing Amazon Polly over a competing TTS service. GoAnimate is a do-it-yourself video-creation platform. GoAnimate uses Amazon Polly to immediately give voice to the characters they create and animate, and easily add narration to their videos.

  • AWS Case Study: River Island

    Founded in 1948, River Island is a leading UK high street fashion brand with 300 stores and a thriving digital business. Watch Doug Gardner, CIO at River Island, discuss how AWS allows the company to innovate at speed and scale its systems to handle major demand peaks on Black Friday.

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