Netflix's recommendation system once generated over one billion dollars in revenue, but a decade later, the biggest financial gains come from many smaller machine-learning applications scattered across the business rather than the flagship recommender.
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Netflix has always been sort of like the poster child for machine learning adoption. And this was, gosh, like maybe a decade ago or something when they first spoke about the impact of recommendation system on their bottom line. And even at that point, I think there was a paper at one of the more prominent machine learning conferences where basically we came to the conclusion that the Netflix recommendation system was helpful to the tune of more than a billion dollars to the company's top line. And that's really impactful. And now basically, if we sort of move forward a decade later, where exactly sort of like the biggest impact has been made, have been sort of like the long tail of machine learning applications.