Communication for AI and Data Teams

Technical people explain badly for specific, fixable reasons rather than through lack of effort, and you cannot assess your own explanation from inside it. This cursus covers the question under the question, choosing depth by offering rather than guessing, and the words that mean something else to your audience. Then uncertainty: the two kinds of error, numbers as consequences, and showing real mistakes before deployment. It ends on adoption, which is decided by conversations that happen long before launch.