Mobs Rule! : Andrew McAfee's Blog - The Diigo Meta page

• 11 Dec 09
  

  Rana Chakrabarti

  e ev

  collective intelligence

• 10 Oct 09
  

  Hutch Carpenter

  On the Internet they’ve been shown to deliver more accurate predictions about political elections and movie revenues than other techniques like polls and statistical forecasting methods. Pioneering efforts to use them within companies show that they’re also highly accurate when deployed behind the firewall (see, for example, the case I wrote with Karim Lakhani and Peter Coles about Google’s internal prediction market and this paper written by Google’s Bo Cowgill and his colleagues).

  prediction markets crowdsourcing wisdomofcrowds crowdcast

• 13 Jul 09
  

  enterprise2open links

  Andy McAfee asks himself why prediction markets haven't taken off so far ...
  
  I agree with him about the bewilderment and can only say that 1. there are quite some (technology) vendors postioned in this space and 2. you can achieve quite a lot with plain (open source) social software already.
  
  Snip: "The evidence is mounting that corporate prediction markets work as advertised, delivering quick, accurate, and decisive predictions in areas of great interest. Furthermore, the evidence so far also suggests that they work better than current corporate forecasting techniques, at least in some circumstances. So are there any good reasons left for not using them, or at least experimenting with them? I ask seriously: why would any enlightened company not avail itself of this technology? Can you come up with any legitimate reasons not to jump in with prediction markets?"

  collective_intelligence prediction_markets enterprise2.0 adoption business_intelligence

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