Using Edge Intelligence: A Guide to Developing Data-Driven Edge Systems for Successful Business Operations

The rapidly growing amount of data produced by Internet of Things (IoT) devices, gadgets, and handheld tools has made edge computing an essential resource. This chapter explores how businesses can use smart edges to access real-time data, reduce latency, and make better-informed decisions. By covering the architecture, key technologies, challenges, implementation methods, and practical examples. The decentralized nature of data processing acquires more significance as more businesses implement smart technologies. This is essential in such industries as healthcare, manufacturing, and self-driving vehicles where time delay may lead to serious effects. Edge systems also spare them of the necessity of continued connectivity to the cloud, which keeps them self-sufficient even in conditions when the access to the internet is intermittent. By providing a road map for the effective deployment of edge systems in the contemporary workplace, this chapter ultimately seeks to close the gap between theorists and practitioners.