AI, Machine Learning, and IoT: Creating Smarter Ecosystems

Abstract

This paper explores the integration of AI, ML, and IoT to build enhanced and sustainable environments. The work considers the features of AI and ML implementation in the IoT context. It reveals how these technologies enhance IoT capabilities through real-time monitoring, predictive maintenance, and supply chain management. A methodological approach to the description and analysis is based on case experiences in smart cities, agriculture, industry, and IoT domains. Some highlights are that AI/ML over IoT addresses performance, optimization, green and smart integration issues, and applications demonstrating usage in smart cities, health care, and the environment. This study adds to the current knowledge base of AI/ML-enabled IoT systems and their role in developing intelligent adaptive environments based on an understanding of the best practices of the current state and the progress made in the field. Suggestions are for future development in this groundbreaking area and specific future directions.