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Almost everyone these days will agree that an organization’s intellectual capital or knowledge assets are as important as its physical assets. The challenge of how to track, organize and use knowledge assets, however, is easier said than done. How can companies tackle this challenge? Michael Lynch, founder and CEO of Autonomy, a company with offices in Cambridge, England, and San Francisco, believes that his company’s technology can help organizations extract meaning from reams of unstructured data. Autonomy even has a name for this process — meaning-based computing. Lynch and Kevin Werbach, a Wharton professor of legal studies and business ethics, who has written extensively on this subject, spoke with Knowledge@Wharton editor Mukul Pandya about these issues. Werbach is also the organizer of Supernova, a technology conference to be held later this month in San Francisco in collaboration with the Wharton School.
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