Implementation of Artificial Intelligence in Industry 4.0, Future and Its Challenges - A Comprehensive Review

Themanufacturing and industrial sectors in the world are undergoing completely futuristic transformation due to the fourth industrial revolution, or Industry 4.0. The implementation of concepts and technologies associated with Industry 4.0 has been actively pursued by a wide range of industries. These technologies and ideas promise to produce just-in-time and lean manufacturing operations through the use of smart devices and digitization. This shift is being driven by technological advancements like cloud computing, sensor networks and the Internet of Things (IoT), Artificial intelligence (AI) and machine learning, additive manufacturing, and the availability of massive quantities of data that can be used to power these technologies. However, the use of artificial intelligence technology for Industry 4.0 varies widely across industries.This article examines the many uses of artificial intelligence in a range of sectors, draws attention to the issues and problems that arise in these and other industries, and talks about some of the proposed solutions as well as the difficulties and obstacles that lie ahead for early adoption. This piece serves as an addition to more extensive analyses on Industry 4.0. In this paper, we conduct a literature study to identify common themes and issues that are associated with the implementation of artificial intelligence technologies in the context of Industrial Revolution 4.0 in various industries. Artificial intelligence (AI) solutions are considered as part of AI adoption processes that include data collection, data processing, model development, and interpretation of results. According to our results, even if other industries have similar problems, the implemented solutions are often tailored to one industry. This means that it can be challenging to apply these solutions in other industries. Additionally, different industries may pursue different adoption tactics as AI approaches become more mature and experienced in different ways.These results have the potential to assist administrators, managers, practitioners, and decision-makers who are engaged in the process of implementing the change brought about by Industry 4.0 in their respective industrial sectors with information that may be valuable to them.