“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.”
quote is from the automated transcript, cleaned for reading:
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More from Todd Papaioannou
PredictionNot checkable as stated
In 2012, Papaioannou predicted easy data tools for non-programmers by 2019
“And I think it's going to take us, like I said, five to seven years until we get to the point where you don't have to be a programmer who understands Python or R or, you know, pick your favorite, you know, language. So actually go and get that insight.”
Todd PapaioannouDec 5, 2013▶ 41:16Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Insight
Launching a startup as a VC EIR beats self-funding
“The best way to launch a company is not to do it on your kitchen table or in your front room with seven guys that you fly over from Europe. It's to have a VC pay you to go and launch a company.”
Todd PapaioannouDec 5, 2013▶ 6:59Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Insight
Founders should make their operational mistakes using investor capital
“One of the lessons I learned is that you know, it's always better to make mistakes and learn things on other people's money, right?”
Todd PapaioannouDec 5, 2013▶ 7:12Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
AssertionNot checkable as stated
Yahoo drove a 300% CTR lift by combining algorithms with human editors
“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…”
Todd PapaioannouDec 5, 2013▶ 27:45Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Opinion
Anonymized healthcare data should be made openly available for research
“I would love it in this kind of, like, altruistic world if all Healthcare data, anonymized healthcare data, was made available for researchers and people to actually build applications on top of, because just imagine the efficiencies and benefits you could get…”
Todd PapaioannouDec 5, 2013▶ 36:21Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
Insight
Data cubes only answer the questions users already know to ask
“Cubes are basically like answers to questions you already knew.”
Todd PapaioannouDec 5, 2013▶ 40:57Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
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