Data from the course flows through a series of public and private clouds, where it is integrated and analyzed. This diagram shows the automated workflow for AI commentary, a new feature in the Masters that generates spoken commentary for more than 20,000 video clips. Each application used in the production of AI commentary (shown in the red boxes) has unique requirements. The team built them as containerized apps using Red Hat OpenShift, so they can run them on any cloud, anywhere.