The rapid advancement in Internet of Things (IoT) technology has led to an exponential increase in connected devices and data generation. However, traditional IoT systems often struggle to handle massive data volumes and make intelligent decisions in real-time. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into IoT systems forming what is known as Intelligent IoT (IIoT) provides a powerful approach to address these limitations. This paper presents a comprehensive overview of Intelligent IoT, focusing on system architecture, AI/ML techniques, real-world applications, and key challenges. The paper also discusses future trends including TinyML, federated learning, and the use of blockchain for enhancing security. Examples, figures, and case studies are provided to support the concepts and illustrate the transformative potential of Intelligent IoT across various sectors.
Artificial Intelligence, Machine Learning, Internet of Things, Intelligent IoT, Smart Devices, Edge Computing, Predictive Analytics, Cyber-Physical Systems
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