Inclusive Review of Machine Learning in the Automotive Sector Today

Abstract

The fast advancement of machine learning (ML) is driving a deep transformation in the automobile industry, which is now in the midst of this transformation. This game-changing technology is gradually being incorporated into many aspects of vehicle development, manufacturing, and functioning, which has resulted in significant improvements in terms of efficiency, safety, and customisation. In this study, a comprehensive analysis of machine learning applications within the automobile industry is presented, shining light on the far-reaching implications that machine learning has across a variety of industries. We investigate the influence that machine learning has had on the design of vehicles, the manufacturing processes, and the operational efficiency, highlighting the vital role that it has played in transforming the sector. This article provides an overview of the most important trends and future trajectories in the junction of machine learning and automotive technology. It also provides insights into the changing landscape of this dynamic sector. For the purpose of tackling difficulties related to overall equipment efficiency (OEE) and improving climate control systems, the research explicitly investigates the role that machine learning plays. The purpose of this comprehensive analysis is to contribute to a more in-depth knowledge of the current status of machine learning (ML) in the automobile industry as well as its possible implications for the future. This will be accomplished by offering a holistic viewpoint.