The fundamental role of data analytics in the era of Industry 4.0 is characterized. The main types of data-driven advanced models, including learning systems, are presented. Potential applications in process control and fault diagnosis in metal industry are reviewed. Examples related to metal casting processes, based on the authors’ expertise are presented. Potential chances and threads of intelligent data analytics in metal industry are discussed.Keywords: Metal industry 4.0, data-driven modeling, process control, fault diagnosis
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