The metals industry is going through rapid digitalization like never before and there is an immediate requirement to address the existing productivity challenges. Despite the adoption of cutting edge IoT sensors, cloud computing and machine learning in the operations, many factors challenge the practical application of machine learning and artificial intelligence at scale. Falkonry’s operational AI alleviates these challenges and allows the metal manufacturing processes to be continuously monitored despite the variations in asset, raw material and product-mix configuration.

This technical paper presents how Falkonry’s intelligence-first approach to machine learning enables rapid scaling of AI in real time operations. The paper further presents a real-world case study and how Operational AI is applied in steel manufacturing at production scale, thus increasing the equipment availability for revenue generation. The paper was physically presented at the Association of Iron and Steel Technology AIST conference that was conducted in Nashville, Tennessee, USA.