Incorporating Artificial Intelligence (AI) in IoT Systems: Augmenting Automation and Efficiency

Authors

  • Abhay Bhatia, Rajeev Kumar, Golnoosh Manteghi, Ankush Joshi, Sangram Banа Author

DOI:

https://doi.org/10.7492/dtf9sn89

Abstract

The integration of Artificial Intelligence (AI) into Internet of Things (IoT) systems has emerged as a powerful solution to improve automation, efficiency, and real-time decision-making. By leveraging machine learning (ML), deep learning (DL), and other AI-based techniques, IoT systems can process vast amounts of data for better performance optimization, predictive maintenance, and intelligent decision-making. This paper explores the application of AI in various IoT domains, including energy optimization in smart homes, predictive maintenance in industrial IoT, and health monitoring. A case study of smart home energy management is presented, illustrating the benefits of the AI-IoT framework. Results from the case study demonstrate significant improvements in energy efficiency, operational effectiveness, and user satisfaction, showcasing the promising potential of AI in IoT systems.

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Published

1990-2026

Issue

Section

Articles

How to Cite

Incorporating Artificial Intelligence (AI) in IoT Systems: Augmenting Automation and Efficiency. (2026). MSW Management Journal, 36(1), 1331-1335. https://doi.org/10.7492/dtf9sn89