EXPLORING IOT-ENABLED AI SOLUTIONS: A DETAILED SURVEY FOR SMART MANUFACTURING AND CPS

Abstract

The Internet of Things (IoT) and artificial intelligence (AI) have revolutionized cyber-physical systems (CPS) and smart manufacturing by creating new avenues for connectivity, automation, and intelligence. Real-time data collection is made possible by IoT, while advanced analytics, predictive modelling, and adaptive decision-making are offered by AI. Their convergence supports. Reducing downtime and operating expenses in smart manufacturing through quality assurance, dynamic scheduling, process optimization, and predictive maintenance. In CPS, IoT-AI cooperation enhances real-time monitoring, autonomous coordination, decision support, and human-machine interaction, thereby facilitating more flexible and intelligent operations. The most recent developments in frameworks, applications, and architectures show their growing impact on industrial digital transformation, especially in relation to Industry 4.0. This survey summarizes the state of the art, finds well-known solutions, and illustrates how the IoT-AI interactions can create scalable, sustainable, and adaptive ecosystems. Through its synthesis of key technological knowledge, the research highlights the promise of utilizing the IoT and AI as a source of future industrial development and smart environments.