ABSTRACT
Artificial intelligence (AI) was launched in the 1940s, and, with the exception of two brief periods, it grew enormously. This chapter provides an overview of the current state of AI technologies from industrial applications perspective as well as an illustration – a real-world case study – of an industrial AI application from the field of machine learning. Industrial AI (I-AI) is considered a subdomain of AI and it addresses machine learning algorithms and targets industrial applications, and it provides methodology and solutions for industrial problems. It connects the academic research community with industry practitioners. I-AI can impact manufacturing in many ways by bringing new capabilities and new applications. The main challenges of industrial artificial intelligence are threefold: data quality, machine-to-machine interaction and cybersecurity. The benefits of running an effective preventative maintenance system, however, can easily outweigh the cost of breakdowns, repairs, scrap due to poor quality and the penalties due to late, unreliable deliveries.
