DETAILED INVESTIGATION ON THE ROLE OF MACHINE LEARNING (ML) APPROACHES IN THE MANAGEMENT FOR CONTEMPORARY ORGANISATIONS

Machine Learning (ML) is an area of artificial intelligence that uses information to construct answers to problems. Additionally, critical thinkers are models who have received formal experience in resolving issues related to business duties successfully. The term "Internet-of-Things" (IoT) refers to a wildly diverse network made up of smart gadgets that are connected to the Internet. Machine learning (ML) and deep learning (DL) processes will play a critical part in bringing intelligence to the IoT networks in the aftermath of the disruptive IoT with its massive amount and variety of data. ML and DL can be quite helpful in addressing the problems associated with resource management in large-scale IoT networks, among other things. The resource management strategies in cellular wireless and IoT networks are systematically and in-depth investigated in this study. Secondary data collection method is considered to gather relevant and factual data as well as statistical information from different sources. Keyword Machine Learning (ML), Internet-of-Things (IoT), Big data analytics (BDA), artificial intelligence (AI), technology, management.