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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

    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.

    Run common and custom business applications securely and reliably.

  • Enterprise Solutions

    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

    Intuit is saving money by moving its business applications to 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.

  • Web & Mobile Apps

    Build and scale high-performance websites and mobile applications.

    Pinterest

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

    Airbnb

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

    Spotify

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

  • 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 OMX

    Nasdaq delivers data on demand cost-effectively using AWS.

    Robinhood

    Robinhood built its brokerage trading platform and a massively scalable securities trading app on AWS.

  • Internet of Things (IoT)

    Easily and securely connect devices to the cloud.

    Enel

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

    Rachio

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

    iRobot

    iRobot uses AWS to support its vision for products used in connected homes, including its popular Roomba vacuum cleaners.

  • Data Center Migration

    Migrate your on-premises workloads to AWS.

    AOL

    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.

    InfoSpace

    Using AWS, InfoSpace migrated its full data center within 6 months and can now easily manage its Microsoft stack on AWS.

Discover what customers are doing with AWS today

  • 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.

  • Patsnap Case Study

    AWS has helped Zhihuiya Information Technology (Suzhou) Co., Ltd. (“PatSnap”) reduce annual costs by 50% and accelerate its business iteration speed by up to 100%. As a global IP service provider, PatSnap draws on its vast patent information repository to maintain a global patent database, patent analytics system, and 3D Patent Landscape Map, helping customers track technological advances, analyze competitors in real-time, and identify innovation trends, so that their R&D and innovation programs can be faster and more effective. All of PatSnap’s business runs on AWS platforms, spanning across the US, EU, Asia Pacific, and China (Beijing) Regions (the latter being operated by Beijing Sinnet Technology Co., Ltd.). PatSnap uses Amazon EC2, Amazon DynamoDB, Amazon CloudFront, Amazon ECS, Amazon Athena, Amazon EMR, and AWS CloudFormation, among others.

  • Avazu Case Study

    Avazu used Amazon Web Services to dramatically improve system stability and scalability to meet the advertising platform’s processing needs of more than 20 billion impressions per day and over 1 million queries per second (QPS). Avazu, a subsidiary of the DotC United Group, is a technology-driven company that engages in performance marketing through programmatic advertising technologies. It is headquartered in Shanghai and has offices around the world. Avazu’s front-end applications run on the AWS platform using services such as Amazon EC2, Amazon CloudWatch, AWS Key Management Service, Route 53, Amazon SNS, Amazon S3, Amazon Aurora, and Redshift.

  • AWS Case Study: FM Wakayama

    Using Amazon Polly, FM Wakayama created an artifical-intelligence announcer called Nanako, achieving automatic broadcasting with stable, human voice quality for 400–800 yen per year. FM Wakayama’s community FM broadcast, called Banana FM, serves about 500,000 listeners in and around Wakayama City, Japan. Nanako connects FM Wakayama's in-house systems to Amazon Polly Text-to-Speech service, ensuring stable broadcast quality when human employees are scarce, and allowing FM Wakayama to announce the latest news even during times of disaster—in short, making possible the kind of broadcasting that couldn’t be done with humans alone.

  • Autodesk WorkSpaces Case Study

    Using AWS, Autodesk is able to set up and deploy 450 workstations at its Autodesk University events, saving nearly a week’s worth of time and thousands of dollars. Autodesk develops software for the engineering, design, and entertainment industries. Instead of renting physical hardware, Autodesk uses Amazon WorkSpaces to host its virtual workstations on zero clients, improving setup efficiency and reducing its carbon footprint. 

  • 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 PredicSis.ai in AWS Marketplace. The company analyzes its clients’ customer data to help them better target their marketing and loyalty programs. Loyalty Lab uses PredicSis.ai on AWS to analyze data it stores in Amazon Redshift and Amazon S3.

  • Trainline Case Study

    Trainline maintained high-speed growth during a year-long migration to AWS, while improving agility, security, and availability. By transitioning to a microservices model, the development team at Trainline has been able to switch to continuous delivery, and do so four months ahead of target. It has gone from a six-week development cycle to pushing out more than 70 updates in one week.

  • McDonalds Case Study

    Using AWS, McDonald’s Corporation transformed into a digital technology company, beat performance targets by up to 66 percent, and completes 8,600 transactions per second via its point-of-sale (POS) system. McDonald’s Corporation is an American hamburger and fast food restaurant chain that serves 69 million customers each day. McDonald’s uses a number of AWS services including Amazon EC2, Elastic Load Balancing, Amazon EBS, and Amazon ElastiCache to support its global POS system, including 200,000 registers and 300,000 POS devices. Tom Gergets, CTO of McDonald’s Corporation, spoke onstage at re:Invent 2016. 

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