Many manufacturing companies have piloted predictive analytics solutions for Industry 4.0 use cases, but only few have yet managed to industrialize them at scale across a large production network. Michael Bruns and Andreas Odenkirchen will take a look at the common pitfalls and share their best practices from working with a global automotive supplier to deploy machine learning models at scale using a digital manufacturing platform foundation that leverages Cloud, IoT, MLOps and DevOps capabilities.