As video becomes an increasingly common content delivery type, the question arises how to take best advantage of this medium. Very important is how to know that learners actually *understand* what they watch, not just that they watch or how much they watch. The best way to do this is with in-video assessments, provided as part of the standard offering by Kaltura. In this presentation we will discuss basic use models for in-video assessments, but also discuss more advanced uses, and how to turn OER video content, student-generated videos, and even imperfect video performances into valuable teaching moments. Finally, we will discuss how video analytics can be generated, and evaluated, including using them for adaptive learning experiences.