FranOntanaya
Joined 13 years ago
Joined 13 years ago
Then, because of legacy broadcasts and backwards compatibility, that carried over well into the 2010s.
Back in the early 1990s the widely referenced BBC guidelines required 99.9% accuracy overall. Nowadays it is assumed that viewers will be used to and understanding about frequent errors, and that you don't need to take pride on your product to keep them in your platform.
Current ones are outright unpleasant, the "make the viewer feel bad about something" kind or directly spam folder level of scammy. Nobody takes pride anymore on their advertising.
So that's one measure of extra time that will be spent on every single feature, where in the past things would've been rolled out in a more barebones state. It's better overall, but is it going to be perceived as being more productive?
It just so happens that there's no framework (outside silos) for many specific tasks, and AI is the workaround to surface those patterns.
If classic companies were coming out with CCTV recordings of someone's employees breaking padlocks and rummaging warehouses any CEO would be in damage control mode, rather than silent.
https://www.linkedin.com/in/franontanaya/