Innovative Applications for a Smarter and Sustainable Future
Abstract
The constructive amalgamation of the Internet of Things (IoT) and machine learning (ML) breeds innovations for a smarter and sustainable future. IoT establishes real-time data collection, whereas ML intelligently analyzes and optimizes these huge datasets for actual decision-making. The chapter delves into applications in the areas of smart cities, environmental monitoring, health, and industrial automation. Smart grids powered by IoT contribute to energy efficiency, while artificial intelligence (AI)-powered predictive maintenance is changing the face of industries. In transportation, ML optimizes traffic control to reduce emissions. Nevertheless, data privacy, ethical issues, and regulatory frameworks must be addressed if an ethically responsible deployment is to be ensured. In the course of streamlining IoT and ML technologies such as fifth-generation (5G) and edge computing, these technologies may be positioned as a mighty force in an increasingly connected and sustainable world. This chapter highlights advances, challenges, and trends into the future within the IoT and ML sustainable innovation landscape.
Fields of Study & Subjects
Smart Cities and Technologies
IoT and Edge/Fog Computing
Internet of Things and AI
Publication details
- Pages
- 151–173
- Publication date
- 7 January 2026
- Language
- EN
- Document type
- Book chapter