• http://twitter.com/DelvePartners Delve Partners

    Dax, interesting note about how a billboard could read a face and correlate those features to some proven pattern of consumer behavior. Whether a person is smiling, frowning, laughing, etc…

    Whether or not it’s a meaningful observation is really up to the ad network’s salesforce’s whitepaper about audience engagement. ;-)

    Good stuff,


  • Chande

    Actually, it’s 3 billion searches per day on Google

  • http://www.facebook.com/irina.semakova Irina Semakova

    yeh, it’s very smart not only to identify, who is your audience at this moment, but also to track reaction to advert – smiles, unsatisfaction, etc.
    We are entering the Era of real targeting and real advert evaluation….

  • Trevor Fox

    I agree, the real value of big data is in its ability to predict through generalization. I also agree that, although it is a tough pill to swallow, targeting and decision making accuracy are just a function of data scale. The problem is, more data just makes smarter computers, smarter computers mean were all out of a job. :)

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  • http://twitter.com/DaxHamman Dax Hamman

    Thanks Chande!

  • http://twitter.com/DaxHamman Dax Hamman

    Yes, quite right. I mentioned it here for an additional reason, and that’s because marketers getting in to big data think about what they can bring to the bid request, but fail to think about what can be generated at the time of the bid request. The environmental factors of the bid itself can yield a lot of valuable data, and there is no reason why that couldn’t include a facial scan.

  • http://twitter.com/DaxHamman Dax Hamman

    Interesting thought Trevor. I see it a little differently. We are certainly moving the balance of the use of computers and people, but I am yet to see any company with an algorithm so smart that it can replace a human entirely. The subtleties of human nature are too complex, and it’s my opinion that we won’t see a computer that can run marketing by itself for a very long time, if at all.