Summary
There are three aspects to consider when selecting winning use cases for Autonomous AI: high business value, the limitations of the current methods, and the time to value.
We'll know that a use case is technically a good fit to be solved using Machine Teaching for Autonomous AI if one or more of the following situations are true: it's a dynamic, highly variable system; there are competing goals or strategies; there are unforeseen system conditions; and/or the process relies on human expert operators.