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Instead of typical production planning and control, data-driven applications incorporating artificial intelligence (AI) help take a more holistic view of the entire chain of production by utilizing data from several sources. Together with machine learning this will help predict upcoming variations and incidents, make decisions based on predicted events and act proactively, which leads to better control of the daily work and allows to run the process with fewer resources. Such autonomous operations will enable mills and plants operate more cost-effectively, decrease their use of raw materials and boost output at the process and plant levels.