Integration of Artificial Intelligence and IoT for Future Smart System Applications

The convergence of Artificial Intelligence and the Internet of Things has paved the way for the development of smart environments that are efficient, adaptive and sustainable. While IoT enables vast networks of interconnected sensors, device and actuators to capture real-time data, AI provides the intelligence needed to process, analyze and act upon this information. Together, they transform reactive systems into proactive, context-aware ecosystems capable of decision-making and automation. This chapter presents a comprehensive framework for integrating AI with IoT, highlighting its architecture, component and applicability across domains such as smart cities, healthcare, agriculture, transportation and industrial automation. The framework emphasizes enabling technologies including edge, fog, and cloud computing, communication protocols and open platforms like FIWARE, which collectively support scalability, interoperability and real-time analytics. the study addresses the challenges related to data management, security, privacy, ethical considerations and workforce readiness.

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