Assume the topic is a difficult one. The manager / exec you are talking to can always interrupt and tell you to skip to the more technical.
If you prepare to explain it to a five year old, and you could already explain it well to someone with domain experience, you can probably explain it to someone that lies in between.
That's the convergence phase, where the rocket car, land car, underground car, and boat car fuse into a glorious transportation chariot for humanity's reach for the stars. Can't remember what page that would be in Musk's master plan.
>it is clear that a significant component of a data scientist’s organizational role is to educate the organization about what is possible and, at the same time, to help other decision makers understand the consequences of reduced quality, shorter timelines, and smaller budgets that may result from different options.
Replace "data scientist" with a different title and this covers almost any employee with domain expertise.
You do not need a massive training set and a bunch of layers to verify this.
Going to assume we will see genetic testing results on replacement parts, just to make sure that nobody is getting an illegally harvested human heart when the packaging says "pig hybrid."
If you prepare to explain it to a five year old, and you could already explain it well to someone with domain experience, you can probably explain it to someone that lies in between.