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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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    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

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    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.

    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.

  • 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

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    Intuit

    Intuit is saving money by moving its business applications to AWS.

  • Financial Services

    Accelerate agility, enable innovation, and protect sentitive data.

    Pacific Life Insurance

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    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.

  • 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

    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.

  • Machine Learning (ML) & Artificial Intelligence (AI)

    Machine Learning in the hands of every developer and data scientist.

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  • Web & Mobile Apps

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Discover what customers are doing with AWS today

  • Ascension and PokitDok Case Study

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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.  

  • 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.

  • 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.

  • 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.

  • 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. 

  • ViaSat Case Study

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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.

  • Bambuser Case Study

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  • bigfinite case study

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