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Tag Archives: Google’s enterprise prediction markets
A picture worth 10,979 words?
Sometimes, a picture is worth 10,979 words across 33 pages. This New York Times article on corporate prediction markets doesn’t mention our implementation at Google, but the accompanying graphic (below) represents what Justin Wolfers, Eric Zitzewitz and I did better … Continue reading
Posted in All Best Posts Ever, All Guest Authors's Posts, Analysis (Industry), Cases, Exchanges & Markets
Tagged Bo Cowgill, corporate prediction markets, enterprise prediction markets, Eric Zitzewitz, event derivative markets, event derivatives, Google, Google's enterprise prediction markets, internal prediction markets, Justin Wolfers, manager of the market, New York Times, prediction markets, private prediction markets
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The New York Times article doesn’t mention Google’s enterprise prediction markets, alas. — Bo Cowgill says that the illustration published in the sidebar defines exclusively what is done at Google.
Right-click on the New York Times graphic below, open Bo Cowgill’s post in another browser tab, and read his arguments. – Image Credit: Chris Gash for the New York Times – Adam Siegel of Inkling Markets is also out with … Continue reading
Posted in Cases, Exchanges & Markets
Tagged Adam, Adam Siegel, Best Buy, Bo Cowgill, Chris Gash, corporate prediction markets, enterprise prediction markets, event derivative markets, event derivatives, Google, Google's enterprise prediction markets, internal prediction markets, management tool, New York Times, prediction markets, private prediction markets, the New York Times
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Google’s Bo Cowgill takes a swipe at the prediction market software vendors.
- Using Prediction Markets to Track Information Flows: Evidence from Google – (PDF file – PDF file) – by Bo Cowgill, Justin Wolfers, and Eric Zitwewitz – 2008-01-06 – Bo Cowgill: [...] Trade-by-trade data can reveal characteristics of specific working … Continue reading
Posted in Analysis (Industry), Consulting
Tagged architect, Bo Cowgill, Consensus Point, corporate prediction markets, David Perry, enterprise prediction markets, Eric Zitwewitz, event derivative markets, event derivatives, Google, Google's enterprise prediction markets, Inkling, inkling markets, internal prediction markets, Justin Wolfers, Motorola, NewsFutures, prediction market consultants, prediction market software vendors, prediction markets, Prime Minister, private prediction markets, Qualcomm, Siemens, Social Networks, software engineers, software-and-consulting model
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