From a strictly logical perspective, they might not. But I would wager a fair amount that there are Bayesian methods used somewhere in the stack supporting those two things. I also suspect that genetic algorithms designed for scheduling purposes probably help your phone call data get transferred somewhere along the way. That is to say, just because the two technologies are not obviously connected doesn't mean the former isn't used somewhere to achieve or improve the latter.

That said, even if there is no presence of Bayesianism in the efforts producing those tasks, his point was surely that, in today's world, an education sufficiently advanced to train people to do those things would certainly include Bayesian statistics somewhere in the curriculum.

Thank you garply. "an education sufficiently advanced to train people to do those things would certainly include Bayesian statistics somewhere in the curriculum" is exactly what I want to convey.

what do you think?

I think it's not immediately obvious why they would.

I agree, it's not immediate application. But Bayesian is one of the most important or fundamental knowledge to develop these cutting-edge technologies.

How? I'm experienced with spacecraft design and the like, and have never heard of Bayesian probability theory being used. If it was fundamental I'd expect some mention, somewhere.

If you look hard enough, you can find it in e.g. (linear) regressions and Kalman filtering.