Artificial Intelligence towards Future Industrial Opportunities and Challenges

Reflective developments, such as a significant digital transition in the manufacturing sector, will be brought about by industry 4.0. Many industrial companies are currently attempting to implement industry 4.0 techniques across their supply chain. The centre of the Fourth Industrial Revolution is artificial intelligence, which is profoundly altering our way of living, working, and interacting with one another as citizens. The intricacy of this shift could appear daunting and intimidating to numerous individuals. A number of nations are currently looking for new industrial revolution tactics as a result of the rapid development of next generation information technology. Companies are being forced by globalisation and competition to innovate and rethink their production processes in accordance with the so-called Industry 4.0 paradigm. It is an example of integrating previously used tools. (robot, big data, cloud, 3D printing, simulation, etc.) That are now linked by sending digital data over a worldwide network. The modern production process has to be intelligently and digitally automated. Customised production is replacing mass production in the manufacturing industry today. Productivity has increased due to the industries' and industrial technologies' rapid improvements. The term "industry 4.0" refers to the fourth industrial revolution, which is characterised by a new degree of control and organisation over the whole product life cycle and a focus on ever-more-individualized client needs. Industry 4.0, which encompasses cloud-based manufacturing, smart manufacturing, industrial internet, and the Internet of Things, is still a futuristic but feasible notion. Industry 4.0 is about the rigorous human integration in the production process to focus on value-adding tasks, prevent waste, and achieve continuous improvement. The purpose of this work is to give an overview of Industry 4.0, comprehend its pillars and applications, identify the difficulties and problems encountered in implementing Industry 4.0, and investigate new trends and streams associated with Industry 4.0 that involve artificial intelligence through the use of a flexible and intelligent approach. We identify and explore a number of technological issues related to process safety, based on clever and adaptable AI techniques and the intricate safety relations in the process industry: Accurately fusing disparate data sources; knowledge-based reasoning for process safety; acquiring knowledge with few labels for process safety diverse sources; as well as efficient education for dynamic risk assessment and decision-making support.