Fundamentals of IoT and Machine Learning
Rajeshwari Sissodia, ManMohan Singh Rauthan, Varun Barthwal, Vinay Kumar Dwivedi · 2025
The convergence of the Internet of Things (IoT) and Machine Learning (ML) is reshaping industries by enabling smarter, data-driven decision-making and operational efficiencies. This chapter delves into the foundational principles of IoT, illustrating how interconnected devices generate vast amounts of real-time data. It then explores the role of ML algorithms in analyzing this data to uncover patterns, optimize processes, and enhance automation. The chapter discusses emerging trends such as the adoption of 5G networks for improved connectivity, federated learning for decentralized data processing, and the expanding role of artificial intelligence in predictive analytics and automation. Additionally, it highlights the importance of continuous learning and adaptation in these rapidly evolving fields, as well as the potential for groundbreaking innovations in both everyday applications and industrial operations. By addressing both opportunities and challenges, this chapter provides a comprehensive understanding of how IoT and ML are shaping the future of technology and society.