In the context of data processing, “edge computing” refers to the practice of processing data closer to the source of generation, rather than relying on centralized cloud platforms. This decentralized approach reduces latency and bandwidth use, enabling real-time data analysis and decision-making. Edge computing is particularly beneficial for applications requiring low latency, such as in the Internet of Things (IoT) and autonomous systems. By performing calculations at the edge, businesses can enhance responsiveness, improve efficiency, and reduce the risks of transmitting large data sets over long distances.