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Category Archives: Crowdsourcing
SiSense: Scaling Users, Not Data
In a new Saturday Night Live sketch, “Secretary Sebelius” explains that HealthCare.gov is so slow because it was designed to handle only six users at a time. We’ve become accustomed to everything online slowing down with additional users, but SiSense last week announced the … Continue reading
The OED, Big Data, and Crowdsourcing
The term “big data” was included in the most recent quarterly online update of the Oxford English Dictionary (OED). So now we have a most authoritative definition of what recently became big news: “data of a very large size, typically to the extent that its … Continue reading
Revisiting Big Data and Crowdsourcing: Kaggle Today
I launched this blog a year ago in June 2011. In one of my first posts, I discussed “Crowdsourcing and Big Data,” offering a typology of crowdsourcing and connecting it to big data by mentioning a little-known (at the time) … Continue reading
12 Rules for Managing Crowdsourcing Communities
Tonight at Crowdsortium Boston II, I heard the following advice: Remember that the crowd is what you acquire from, not what you sell to. Don’t try to replicate your best user (otherwise, all users will look the same). Win over … Continue reading
Posted in Crowdly, Crowdsourcing, Libboo, onForce
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Google Plus Zagat Equal Google Channels
If content is king, content brands are emperors. Zagat is the inventor of content crowdsourcing (in 1979!) and the emperor of crowdsourced (and edited!) local reviews. For Google, this is yet another step in expanding its content ownership and the … Continue reading
Posted in Crowdsourcing, Google, Information Business
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Crowdsourcing and Big Data
The Wikipedia article on Big Data says it “requires exceptional technologies to efficiently process large quantities of data within tolerable elapsed times.” The examples given (Hadoop, MapReduce, Cloud Computing, etc.) do not include one very exceptional technology, the human brain, … Continue reading
Posted in Appswell, Business Impact, Crowdsourcing, Data Scientists, Innocentive, Kaggle, uTest
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