Integration of Artificial Intelligence and Machine Learning for Internet of Things
Kamal Kumar, Vinod Kumar, Seema · 2023
The fast growth of the Internet of Things (IoT) has created a large plethora of data, driving the need for intelligent data analysis and decision-making. The rapid growth of IoT tools has ushered in a new era of interconnectedness, generating immense volumes of data that require sophisticated processing and analysis. This paper discusses the seamless convergence of Artificial Intelligence (AI), Machine Learning (ML) and IoT, highlighting their collective potential to revolutionize data interpretation, decision-making and predictive capabilities within this interconnected ecosystem. By synergistically integrating AI and ML, IoT systems transcend traditional data collection and transmission, advancing toward intelligent, autonomous entities capable of adaptive learning, anomaly detection and optimized resource utilization. This paper discusses the transformative impact of this integration, promising to reshape industries, enhance operational efficiency and drive innovation in the context of the evolving technological landscape. The paper mentions the benefits, limitations, future directions and conclusion of this integration.