AWS for Industries

Category: Architecture

Develop and deploy a customized workflow using Autonomous Driving Data Framework (ADDF) on AWS

Autonomous vehicles (AV) must be driven hundreds of millions of miles – and sometimes hundreds of billions of miles – to demonstrate their reliability in terms of fatalities and injuries. There is a need for alternative methods to supplement real-world testing including virtual testing and simulations, mathematic modeling and analysis, and scenario and behavior testing. In this […]

Acxiom's Amazon EMR architecture for model inferencing

How Acxiom reduced their model inference time from days to hours with Spark on Amazon EMR

Customer intelligence company Acxiom provides data-driven solutions that help marketers worldwide better understand their customers to create better customer experiences and drive business growth. To deliver these customer experiences, Acxiom builds and manages a large number of machine learning (ML) models on Amazon Web Services (AWS), using services like Amazon EMR—a solution for rapidly processing, […]

At-scale Genomic Data Compression, Storage, and Access Using PetaGene on AWS: Reference Architecture

Analysis of large-scale genomic data is the foundation for developing new treatments that make personalized medicine a reality. However, access to these multi-petabyte datasets brings challenges in terms of managing storage and compute infrastructure. The scale and flexibility of AWS resources are ideal for such projects. AWS has developed a Reference Architecture for compression and […]

Enabling efficient patient care using Amazon AI services

Artificial intelligence can speed up the development of new drug development, be a bridge to personalized medicine using the information of our genomes, and help address the problem of a chronic shortage of doctors (especially in countries where health services are underdeveloped). However, significant challenges remain before we can get there. The challenge The application […]