Analysis of the role of machine learning in the Internet of things (IoT)

The integration of Machine Learning (ML) inside the framework of the Internet of Things (IoT) has initiated a novel era of technological progress, exerting influence on diverse sectors including healthcare, transportation, and smart cities. The primary objective of this study is to examine and provide a critical analysis of the significant roles that ML plays in enhancing the functionalities of the Internet of Things IoT. This study employs a qualitative research technique to examine four key domains: data analysis and prediction, security, optimisation, and user experience. In this regard, a critical analysis of existing literature and some case studies is conducted. The findings indicate that the integration of ML with the IoT has multiple benefits including enhancing security measures, operational optimisation, and the overall user experience. This study significantly contributes to the present literature by addressing existing literature gaps and offering practical insights for the key stakeholders.