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. Below, we explore how AI and edge computing are converging to enable faster and more efficient processing, specifically in the context of Internet of Things (IoT) devices.

The Emergence of AI in Edge Computing

The traditional model of processing data in centralized cloud servers has been challenged by the explosion of data generated by IoT devices. Transferring enormous volumes of data to a centralized location for processing increases latency and raises concerns about bandwidth usage and security. AI in edge computing emerged as a solution to these challenges, bringing intelligent decision-making directly to the source of data generation.

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