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The Nielsen Co. said Tuesday that 28.2 million people watched Kobe Bryant's Lakers win their second straight NBA championship. It was the most-watched NBA game since Jordan led the Chicago Bulls to their sixth championship over the Utah Jazz in 1998.Except for the Olympics, Nielsen said last Thursday's game was the most-watched show on network TV in the summertime since the finale of the first "Survivor" season in August 2000.It follows a trend of big ratings for big events on TV. This year's Super Bowl reigns as the most-watched event in U.S. television history, with an audience of 106 million.

Finnegan added that he’s hoping for more collaboration between Silicon Valley and the advertising industry on Madison Avenue. Many of MediaVest’s clients are becoming more interested in the startup world, he said: “They want to know what’s next and what some of the tools are and ways they can better reach their consumers.”

Since the start of the year, a team of researchers at Carnegie Mellon University — supported by grants from the Defense Advanced Research Projects Agency and Google, and tapping into a research supercomputing cluster provided by Yahoo — has been fine-tuning a computer system that is trying to master semantics by learning more like a human. Its beating hardware heart is a sleek, silver-gray computer — calculating 24 hours a day, seven days a week — that resides in a basement computer center at the university, in Pittsburgh. The computer was primed by the researchers with some basic knowledge in various categories and set loose on the Web with a mission to teach itself.

The Never-Ending Language Learning system, or NELL, has made an impressive showing so far. NELL scans hundreds of millions of Web pages for text patterns that it uses to learn facts, 390,000 to date, with an estimated accuracy of 87 percent. These facts are grouped into semantic categories — cities, companies, sports teams, actors, universities, plants and 274 others. The category facts are things like “San Francisco is a city” and “sunflower is a plant.”

The real question is whether solutions like these will be enough. By some estimates in just a few years we will reach a point where all the information on the Internet will double every 72 hours. Double. I'm running out of metaphors to describe the magnitude of this content creation. The predictable result of this is that brands are beginning to focus on content creation when they start to look at social media. What are we going to create, or what are we going to get our customers/patients/fans/audience/victims to create? Is that really the best question we could be asking?What if you were to ask about the person that makes sense of it all? The one who sifts through all the content and picks out the best and most worthy. This person is missing from most corporate communications teams. It's not a commonly defined role on any ebusiness teams. In fact, there are few jobs like this at all. The closest comparative role may be contained within the rising Library 2.0 movement (one I wrote about some time ago), but this is not frequently linked to business communication or marketing. If this role did exist, what would it be called?