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This chapter is a comprehensive analysis of how the advent of edge computing and AI is reshaping the tech landscape. It begins with an explanation of the concept of edge computing, including its origins in cloud computing and its implications for reducing latency and bandwidth use. It further elaborates how edge computing is transforming data-intensive applications by allowing real-time processing and decision-making.
The latter half of the chapter delves into the role of AI in edge computing and the practical implications it has on various sectors. It elaborates on how AI, when coupled with edge computing, can lead to efficient data processing, timely decision-making, and robust learning in real time. The chapter also explores several practical examples across industries such as self-driving cars, healthcare, industrial IoT, retail, and smart cities. These examples illustrate the transformative power of AI on edge devices, ultimately indicating a future where AI’s role in edge devices becomes indispensable.