Synergizing AI and IoT: Intelligent Edge Computing for Autonomous and Scalable Smart Environments

IoT Is Revolutionized With Scalability with AI-driven Edge Computing for Real-Time Efficient Data Processing In this paper, we discuss the role of AI in affecting important performance metrics such as latency reduction, energy efficiency, bandwidth utilization, and workload distribution. The results show that the deployment of AI-powered edge nodes improves decision-making speed, computational resource provisioning, and security through intelligent anomaly detection, CCO of the study table. AI based adaptive scheduling helps in load balancing of CPU while minimizing the communication cost contributes to reduce dependence on cloud processing. It aims at the profound power that AI offers to transform an IoT environment into a more autonomous, resilient, and resource-friendly one. Your AI Models will be simulated for both edge and Cloud based applications which will give you immense data in terms of research so that you can dive into advanced research in areas of Federated Learning, Privacy preservation and scale upto large deployments of IOT devices.