The production chain at Dillinger and Saarstahl AG involves a multitude of specialized and complex metallurgical manufacturing processes and is characterized by uncertainties, changes in customer orders and is subject to various possibilities for discrepancies during production. Such a complex manufacturing process requires advanced techniques for realizing further improvements and thus offers an opportunity for using data to predict uncertainties and make decisions which adjust processes. This talk will show how artificial intelligence technologies can help support quality control and process improvements in the steel industry.