Tim Davies discusses why recording and analyzing in-person meetings is harder than virtual ones. Privacy concerns and speaker identification problems make face-to-face AI implementation difficult compared to the relative ease of capturing video calls.
I think. I think the biggest resistance we get, and I've tried it a couple of times and not really been successful, is trying to record face to face meetings. Because people don't like to be recorded when they're having a face to face gone somehow.
Especially not with an array of cameras.
Well, the array of cameras, we wouldn't do that.
Just be a phone on.
Just a phone on a desk. But people don't seem to like that. They seem to find that more of an intrusion. Whereas if they're doing it over zoom or teams or, you know, a video call or a telephone call, they don't even think about it.
Well, they don't know it's there. It's sort of that. It's almost out of sight, out of mind. And I think the other challenge with in person is it cannot accurately chord who says what. Yeah, so It'll be Speaker 1, Speaker 2, as opposed to the name of the individual tagged to their team's account, for example.
Yeah.
So there's still a way to go in that technology and you can get around it a little bit by saying your name at the beginning of the transcript. And it goes some way, but in person is still quite challenging. And a lot of business is people to people.
EP 60: Why Founders Become the Bottleneck — And How AI Changes Everything | Thea Brook
