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O'Reilly Money:Tech Conference
Wednesday February 6, 2008 - Friday February 8, 2008
Waldorf Astoria, Park Avenue, New York, USA
Park Avenue
New York City, New York Get Directions
Money and technology are inseparable. Massive new tradable data sets are being exposed by the Web; new bottoms-up social networks are creating alternative ways of discovering investing ideas; a rising percentage of newswire content is being written and consumed by machines; new classes of monitoring services are revealing deep data that might otherwise go unnoticed and untraded for weeks; and real-time itself is being redefined.

O'Reilly Money:Tech will be a deep dive into the challenges and opportunities the wave of finance-related technological change is creating, and how Wall Street is pushing the technology envelope. The conference will bring together institutional and professional investors, researchers, entrepreneurs, technologists, academics, and high-profile speakers to uncover the opportunities created by rapid change in money and markets. Featured speakers include:

* James Altucher, Stockpickr
* Henry Blodget, Silicon Alley Insider
* Jim Cramer, CNBC and TheStreet.com
* Ken Kam, Marketocracy
* Tim O'Reilly, O'Reilly Media
* Dan diBartolomeo, Northfield Information Services
* Rick Seaney, Farecompare
* David Leinweber, Leinweber & Co.
* Steve Skiena, SUNY Stony Brook
* Devin Wenig, Reuters
* Cathleen Rittereiser, Alternative Asset Managers, L.P.

With current fund managers over-exploiting the same sources of trading data, where will alpha come from in the future? Will it be weather data? Data from Edgar filings? From the Web? Or from social networks? Where are the entrepreneurial opportunities in becoming next-generation providers of financial data? Where are the real opportunities at the confluence of money and technology?

These are big and crucial questions, with trillions of dollars at stake, and the timing feels right. Like everyone else, we'd rather the markets were a bit less uncertain. But it's in times like these that new sources of data can make a difference. Mathematical models can be wrong, but new sources of data can provide actual insight into breaking trends from the real world. The lessons of this conference can be more appropriate now than ever.
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Waldorf Astoria, Park Avenue, New York, USA
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