Edge computing is a transformative approach that places computation near data sources such as IoT devices, sensors, and network switches. This localized processing paradigm has gained traction in various fields, and its integration with Artificial Intelligence (AI) is revolutionizing real-time decision-making. AI in edge computing is enabling faster and more efficient processing, specifically in the context of Internet of Things (IoT) devices, by reducing the need for data transfer to central servers, thereby minimizing latency and enabling real-time analysis and decision-making. This shift is particularly essential for applications that require immediate responses, such as autonomous vehicles, industrial automation, and healthcare monitoring.
