In collaboration with Amazon Web Services (AWS), ArcelorMittal will deploy AI at the point of production to create digital twins of its physical assets and production lines. This initiative is aimed at improving predictive maintenance across its steelmaking operations.
ArcelorMittal has announced a strategic collaboration with Amazon Web Services (AWS) to accelerate industrial automation across its global operations through advanced cloud, artificial intelligence and edge technologies.
The collaboration brings AWS cloud and AI capabilities directly to ArcelorMittal’s manufacturing processes, providing opportunities for further optimisation and improvement of safety, asset reliability and energy efficiency. ArcelorMittal will converge some of its operational technology (OT) and information technology (IT) on AWS infrastructure, designed for security and scale, extending cloud and AI to the edge of its production environments. Using AWS services across industrial IoT, real-time sensor data and machine learning, the company will deploy AI at the point of production, enabling predictive maintenance, computer-vision quality control, process optimisation and digital twins of its physical assets and production lines.
Tanuja Randery says: “ArcelorMittal is rethinking how steelmaking works, from predictive maintenance on furnaces and other industrial installations to AI-driven energy optimisation. By bringing AI to the point of production, they are creating new ways of running safer, more efficient operations across steelmaking sites in 14 countries.
We are delighted to work with customers who think at this level, and AWS is proud to support ArcelorMittal’s ambition with cloud, edge and AI technology built for industrial scale.”
Nik Puri says: “The next frontier of digital transformation for steel is on the plant floor. With AWS, we are bringing cloud and AI directly to the point of production, connecting our assets and building plants that sense, learn and optimise in real time.
By converging our operational and information technology on a single secure platform, we are moving towards digitally enabled operations that are safer for our people, more reliable in output and more sustainable by design. This is how we industrialise AI at scale across the steelmaking value chain.”
