The steel industry has developed sensorization to generate data, monitoring systems, and steelmaking process control. remaining challenges are data storage issues, lack of cross-production links, erroneous datasets, which significantly increase the quality control complexity. development a data-driven approach through artificial intelligence (AI) techniques enables machine learning big datasets...