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.