Edge Computing and AI: Enabling Real-time Analytics in Iota Applications

Abstract

Edge computing and artificial intelligence (AI) are revolutionizing real-time analytics in Iota (Internet of Things) applications by bringing computational power closer to the data source. This proximity reduces latency, enhances data processing speeds, and enables instantaneous decision-making. In Iota environments, where vast amounts of data are generated continuously, leveraging edge computing ensures that critical data is processed locally, minimizing the need for constant cloud communication. Integrating AI at the edge further amplifies these benefits by allowing intelligent analytics, such as predictive maintenance, anomaly detection, and personalized user experiences, to occur in real-time. This combination of edge computing and AI is pivotal in enabling responsive, efficient, and scalable Iota systems, driving advancements in various sectors such as healthcare, smart cities, and industrial automation.