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Dr. Ravinder Kaur is an Associate Professor in the Department of BBA at the Institution of Chandigarh University, Mohali, Punjab, India. She has extensive experience in higher education and interdisciplinary research. Her academic interests include Artificial Intelligence, business analytics, IoT-enabled systems, digital transformation, and intelligent decision support. She actively contributes to research and academic activities that integrate modern computing technologies with business and management practices.
The Internet of Things (IoT) has surfaced as a pivotal technology for facilitating astute surveillance and anticipatory decision-making in numerous practical applications. IoT systems perpetually gather and assess real-time data from physical surroundings by integrating sensors, intelligent devices, communication networks, cloud computing infrastructures, and Artificial Intelligence (AI). The amalgamation of Machine Learning (ML), Deep Learning (DL), Edge Computing, Big Data Analytics, and Cloud Computing facilitates intelligent surveillance, anomaly identification, predictive upkeep, environmental forecasting, healthcare oversight, industrial automation, intelligent agriculture, transportation administration, and smart city initiatives. IoT-integrated smart monitoring systems enhance operational efficacy, resource allocation, system dependability, and decision-making assistance, all while decreasing operating expenses and mitigating hazards. This chapter delineates the principles, framework, artificial intelligence methodologies, applications, obstacles, and prospective research avenues of IoT-facilitated intelligent monitoring and forecasting systems.