Community Day Session 4 | Building Fraud Detection Systems with AWS Batch and Containers

Published on Nov 30, 2018

When analyzing information for fraud detection, tasks must be run periodically. When building a fraud detection system, start by preparing the data, and work with small chunks of data and run parallel jobs so your machine learning (ML) models can predict fraudulent activity. For that, you schedule computer resources and, of course, the script. With AWS Batch, you only worry about your application job and run it at scale. With containers, you think in small processes and let AWS Batch run them concurrently. In this session, learn to build a fraud detection system and integrate it with other AWS services. Learn More: Catch up on the excitement of re:Invent 2018 with the AWS launchpad featuring launch announcements, demos of newly launched technology, interviews with expert guests and live Q&A. AWS re:Invent is a tech education conference for the global cloud computing community hosted by Amazon Web Services. See all recordings of the AWS Launchpad at re:Invent here: and learn more about AWS live streaming here: