In an era defined by rapid technological evolution, the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT) is revolutionizing the design and functionality of autonomous and adaptive systems. These systems are increasingly vital across industries ranging from manufacturing to healthcare. By integrating AI’s analytics and decision-making capabilities with sensor networks and data streams, organizations can create intelligent ecosystems that not only react to environmental changes but to optimize for future conditions. Enhancing Autonomous and Adaptive Systems With AI and IoT explores the intersection of AI and IoT in autonomous and adaptive systems. This book bridges the gap between theoretical research and practical applications, offering a deeper understanding of the principles, methodologies, and challenges involved in creating intelligent, self-sustaining systems that can operate effectively in dynamic environments. Covering topics such as AI, loT, and automated systems, this book is an excellent resource for researchers, academicians, industry professionals, policymakers, technology leaders, and industry professionals.