Yahoo

“At Yahoo, when I left, we had 200 petabytes of data that we used to, you know, build models and do personalization and scoring and ranking and all of that stuff.”

“Once we moved it all to algorithm and had editors just use their, you know, what humans are good at, which is this kind of like, you know, just being able to do correlations that the algorithms maybe didn't, we were able to drive like a 300% improvement in cli…”

“And so this is actually at Yahoo, a very distinctive strategy that we adopted in the global cloud computing group, which to say, we will open source all of our infrastructure because it's not a core competitive advantage to us. The applications and the secret …”

“If you think about A-B testing, that lives much more at the top of the ladder than at the bottom. You know, to actually get to the point where you're, If you're doing A-B testing in production at a large company like Yahoo or Facebook, you have to implement th…”

“Instead of trying to predict what people would like, let's, let's, let's run experiments in real time and see what people click on. And that turned out to generate very good click through rates.”

“Where this ultimately went then was kind of a system that, that Brought man and machine together, where the editors would propose anywhere from 20 to hundred, and over time, 200 different stories that they think might be good. And the reinforcement learning wo…”

“We were doing machine learning and behavioral targeting back 15 years ago, more than 15 years ago in advertising.”

“Things like Kafka eventually came out of LinkedIn that was based on work that we had been doing at Yahoo”