Astha
Delhi Technological University, Delhi
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http://doi.org/10.37648/ijrst.v13i04.010
The Internet of Things (IoT) changes how devices, sensors, and systems interact, opening new avenues for advanced data collection, processing, and decision-making. With the advent of Artificial Intelligence (AI), IoT services are becoming more intelligent, enabling automated operations, predictive analytics, and enhanced user experiences. AI integration facilitates the seamless processing of vast amounts of IoT data, enabling actionable insights that drive efficiency and innovation across various sectors. IoT applications are emerging to meet modern industries' complex needs through machine learning, deep learning, natural language processing, and edge computing. This paper delves into AI-integrated IoT, its applications, benefits, challenges, and future directions. It specifies how AI-driven IoT services optimize operations, enhance decision-making processes, and serve adaptive solutions in specific domains. The study also illustrates case studies on the real impact of these technologies and presents statistical data to quantify their significance. The paper identifies challenges such as data security, computational complexity, and ethical concerns and proposes strategies to address them. This research aims to contribute to developing intelligent, sustainable, and secure IoT ecosystems by focusing on advancements in AI technologies and their synergistic relationship with Lot
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