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 Doug Henschen
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Profile of Doug Henschen

Executive Editor, InformationWeek
Member Since: 11/15/2013
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News & Commentary Posts: 1637
Comments: 571
Doug Henschen is Executive Editor of InformationWeek, where he covers the intersection of enterprise applications with information management, business intelligence, big data and analytics. He previously served as editor in chief of Intelligent Enterprise, editor in chief of Transform Magazine, and Executive Editor at DM News. He has covered IT and data-driven marketing for more than 15 years.
Articles by Doug Henschen
posted in January 2011

Oracle Exec Says Exadata Can Do It All

1/27/2011
Database executive Andy Mendelsohn tells financial analysts that Oracle has all the bases covered. Here's where the company stands on Exadata progress and disruptive threats to its database business.

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Inside Watson, IBM's Jeopardy Computer

1/24/2011
IBM has spent four years and untold hundreds of millions of dollars developing Watson, a computer that can play Jeopardy. In fact, Watson answers questions so quickly and accurately that IBM challenged Jeopardy and two of the show's all-time champions to a match. Jeopardy's producers and the human contestants agreed. Taping took place January 14, and the three computer-vs.-human episodes will air February 14-16. Cynics may call it a publicity stunt, but the project has brought real advances in c

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NRF Big Show 2011: Breakthrough Technologies For Retailing

1/13/2011
The National Retail Federation's "Big Show" in New York highlighted scores of cutting-edge retail technologies, from mobile devices and digital signage to point-of-sale systems and store-management applications. Tablet computers were everywhere, of course, though more often featured as a raffle prize designed to draw booth visitors and gather business card leads. Several exhibitors demonstrated iPad-native "clienteling" apps designed to help salespeople demonstrate and explain complicated (or ou

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AOL Taps Vertica Database

1/5/2011
Column-store platform edges out IBM Netezza, Oracle and others to provide self-service data sets for advertizing optimization and internal traffic analysis.

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