Viz.ai, an Israeli-based technology provider, uses cloud based Artificial Intelligence to revolutionize stroke care for doctors and patients. Join builder Adrian De Luca for this special edition of This is My Architecture as he dives deep into the solutions architecture of this ground breaking application that dramatically reduces systemic delays that stand between patients and life-saving treatments. Explore how the company integrates Computed Tomography (CT) images with Amazon S3 & Amazon Simple Queue Service (SQS), assembles and conducts inference of millions of files with Amazon EC2 & Amazon RDS, and improves stroke detection through an automated machine learning training workflow with AWS Lambda, AWS Batch & Amazon Fargate. Check out more resources for architecting in the #AWS cloud: http://amzn.to/2ZIbygO#AWS#ThisIsMyArchitecture
AI-generated video summaryQuality and accuracy may vary. Viz.ai uses AI to dramatically reduce delays in stroke care. This special episode explores the solutions architecture, including integration with Amazon S3 and SQS. A deep dive showcases how CT images are processed and analyzed using Amazon EC2, RDS, Lambda, Batch, and Fargate
Author: desertedbeach
