Applications of Artificial Intelligence and Big Data in Industry 4.0 Technologies
Reza Rezazadegan, Mahdi Sharifzadeh · 2022
Manufacturing in today's world is undergoing a transformation that is highlighted by increasing amounts of collected data, increased complexity of the manufacturing process, pressure to reduce the costs and environmental impact, and the need for being more adaptable to customer demand. These trends more than ever underscore the need to use machine learning (ML) and artificial intelligence (AI) to aid this transformation. AI can help with its ability to learn from and adapt to changing environments, its ability to derive brief and insightful information from complex and high dimensional data, and its aptitude at automatically discovering patterns and relations in data. Industry 4.0 concepts such as Quality 4.0 are heavily dependent on the use of AI. Companies such as British Petroleum have been using AI on a large scale to minimize the downtime of their facilities, and dedicated companies have started bringing AI advantage, such as in predictive maintenance, to industries. In this chapter, we describe different AI methods together with their applications to the industry. Even though we provide references for further reading, we do not attempt at providing a complete reference list.