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>For all the data that they collect and all the AI that they pay for, these companies get very little revenue to show for it. Not really, they make a shit ton
by marcinzm 6y ago
>For all the data that they collect and all the AI that they pay for, these companies get very little revenue to show for it.
Not really, they make a shit ton of money from their recommendations and perform extensive A/B testing to keep track of how much money it makes them. Anecdotes aren't data and large tech companies don't spend money for no reason (especially when they can A/B test the impact trivially). Remember that at their scales even a 0.01% increase in revenue is worth $10+ million per year so they don't need to be perfect to make a shit ton of money. There's a reason ML engineers get paid $1+ million and it's not corporate stupidity.
- laichzeit0 6y agoI doubt it’s A/B testing, more likely some multi-armed bandit algorithm.
- disgruntledphd2 6y agoYou typically need both. You'll have some kind of MAB in production, but in order to measure individual incremental impacts, you still need a proper experiment.