Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass

The Internet of Things (Io T) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by Io T. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs.This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You?ll begin by discovering how to create software applications that run on edge devices with AWS Io T Greengrass. As you advance, you?ll learn how to process and stream Io T data from the edge to the cloud and use it to train ML models using Amazon Sage Maker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance.By the end of this Io T book, you?ll be able to scope your own Io T workloads, bring the power of ML to the edge, and operate those workloads in a production setting.Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS Io T Greengrass 1st Edition is written by Indraneel Mitra, Ryan Burke and published by Packt Publishing. ISBNs for Intelligent Workloads at the Edge are 9781801818872, 1801818878 and the print ISBNs are 9781801811781, 1801811784.