AI Integration in IoT: A Comprehensive Overview of Applications and Implications

The complex relationship between AI and the IoT is explored in this study paper, which looks at the two technologies side by side and how they may work together. The study delves into several AI-enhanced IoT applications, such as machine learning, deep learning, and natural language processing, and how these integrate to enhance device and system capabilities. Information transmitted via Data sent and received from workstations, as well as data collected by sensors, will soon be available on the internet. Data storage, latency, channel constraint, and network congestion are all potential issues that may arise as the number of workstations and sensors continues to rise. This study explores the revolutionary effects of AI on several sectors of the Internet of Things (IoT) ecosystem by doing a thorough literature review and analysing real-world use cases. By discussing the pros and cons of AI integration into the IoT, the study provides useful information for academics, practitioners, and policymakers. Ultimately, the goal of this extensive investigation is to add to the current conversation about the changing world of AI-enabled IoT, therefore paving the way for new developments in this exciting and fast-paced industry.