Leveraging machine learning for emerging trends in Information Technology: A review

Abstract

In the continually changing information technology (IT) field, staying on top of emerging trends is critical for firms looking to preserve a competitive advantage. Machine Learning (ML) approaches have evolved as practical tools for evaluating large volumes of data and generating valuable insights. This review paper examines the convergence between machine learning (ML) and new IT trends, emphasizing cyber security, edge computing, the Internet of Things (IoT), cloud computing, and quantum computing. This study examines recent research and case examples to demonstrate how ML algorithms are being used to address difficulties and create opportunities in specific sectors. Furthermore, it explores the ramifications for corporations, academia, and governments, offering insights into future trends and prospective study areas.