The emerging technologies of Artificial Intelligence of Things (AIoT) current scenario, challenges, and opportunities

摘要

Numerous chances are offered by intelligent futures! Future machines won’t only be mechanical tools; they’ll communicate intelligently with humans. Except the homicidal robots, of course! A future like the robotic utopia depicted in I, Robot. This future will unavoidably come to pass as a result of today’s two most prevalent technologies, AI and the IoT. Thanks to its ability to be self-sufficient, self-governing, and capable of making independent decisions, Artificial Intelligence (AI) is carving out a unique place for itself in the world. An interconnected system of devices with built-in sensors that can generate and gather enormous volumes of data is known as the Internet of Things (IoT). Artificial Intelligence may be used to solve problems or draw conclusions after data analysis. On the other side, the increased use of connected devices generates vast volumes of data that must be analyses in order to create actionable insights. The Internet of Things (IoT) is a new paradigm which focuses on solutions that harness the processing capacity of IoT devices to enable AI in system operations by sending data back and forth to servers and other smart devices. Recently, the acronyms for the Internet of Things (IoT) and Artificial Intelligence (AI) were merged to create the new name Artificial Intelligence of Things (AIoT). In this study, we perform an empirical evaluation of the current, challenges, and potential future research paths of the Artificial Intelligence of Things (AIoT). AIoT intelligence enables data analytics, which may be used to improve a system’s performance, offer better business insights, as well as produce data that can help the system learn and make more intelligent choices.