Machine Learning at the Edge | Amazon Web Services (AWS) Session

AWS edge computing services provide infrastructure and software that move data processing and analysis as close to the end-point as necessary. This includes deploying AWS managed hardware and software to locations outside AWS data centers, and even onto customer-owned devices. For applications demanding near-instantaneous inference, it is not possible to make API calls to the cloud for generating predictions. This session will walk you through drivers and use cases for machine learning at the edge, allowing you to learn how to train machine learning models using Amazon SageMaker, optimize them using Amazon SageMaker Neo, and deploy them to edge device using AWS Greengrass.