Artificial intelligence (AI) is an aggregative term for describing when a machine mimics human cognitive functions, like problem-solving, pattern recognition, and learning. ET Comments Artificial Intelligence in the Steel Industry When I look at many of today's digital related trends driving industry and technology discussions, it is interesting to compare … Artificial intelligence is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence. DOI: 10.33313/377/265 Corpus ID: 181734794. It is organised by the Focus Group Smart Factory of the European Steel Technology Platform. With the focus to provide advanced steel solutions as well as maximize its non-steel sectors, POSCO has become a leader in innovating manufacturing processes. But no more. The Japanese iron and steel industry has rationalized its production operations through the introduction of computer systems. Artificial Intelligence in the Iron & Steel Industry Traditional stock, inventory and statistical analysis provided insufficient information for preventing factory defaults, and made failures inevitable. Artificial intelligence has evolved with improved safety standards and assist in predicting hazards at construction sites before they take place. It is this degree of specialisation. For optimized production control of processes in the tire industry, artificial intelligence methods are used to learn the test and validation data required for automatic image recognition. Artificial Intelligence in Manufacturing Industry. The game-changing Industry 4.0 standard recognizes the role of humans and cyber-physical systems. Three out of four C-suite executives believe that if they don’t scale artificial intelligence (AI) in the next five years, they risk going out of business entirely. This new era, what is being called Industry 4.0, is one in which manufacturing moves beyond some of its former limitations by becoming more efficient, less wasteful, and much more productive. In part 1 we reviewed why artificial intelligence (AI) is moving slowly. These emerging technologies focus on helping players overcome some of the E&C industry’s greatest challenges, including cost and schedule overruns and safety concerns. For example, Artificial Intelligence is making a resurgence as one of the likely key disruptive . learning/artificial intelligence and new communication technologies, which have been developed in the recent decades and used widely in the consumer and commercial internet. With the advent of Industry 4.0, Data Science and Explainable Artificial Intelligence (XAI) has received considerable intrest in recent literature. Information was displayed to operator and allowed them to intelligently select, for example, the most appropriate empty ladle for the next steelmaking heat - so as to minimize temperature loss during tapping and subsequently potential cold steel problems. Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The manufacturing sector can profit by utilizing digital physical frameworks so as to make creation lines increasingly productive. Experts are now in agreement that automation is a necessity if the industry is to stay relevant in the decades ahead. AI Applications in the Process Industry Artificial neural networks have been known for decades in the process industry, for example in the chemical, the steel or the water and wastewater industry. 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