Excellent article, as always, by the NY Times's John Markoff on what's being referred to as "Web 3.0" (Entrepreneurs See A Web Guided By Common Sense 11/11/06). In the future, he writes:
"more powerful systems could act as personal advisers in areas as diverse as financial planning, with an intelligent system mapping out a retirement plan for a couple, for instance, or educational consulting, with the Web helping a high school student identify the right college."
Relevance to CGM? What does this have to do with consumer-generated media (CGM)? In my day job, at Nielsen BuzzMetrics, we use advance text mining to filter, organize, and interpret CGM across tens of millions of sources, and the ensuing intelligence is typically leveraged to inform judgement, and in many cases reduce risk. At the simplest level, I'm fond of saying "It Always Pays to Listen." Both offensive and defensive brand "radar," if you will, can help marketers better navigate issues, evaluate events, respond to and manage (easier said than done) influencers, and identify unmet consumer needs. What Markoff is describing are next generation models of analyzing web content to answer basic questions and inform forecasting models. This blog typically focuses on the "marketing" and "consumer understanding" aspects of consumer-generated media -- less on the technology nuts and bolts -- but if you want to take a deeper, more sophisticated dive into the subject of advanced text analytics, I strongly recommend the personal blog of one of my colleagues, Matt Hurst. His blog, entitled Data Mining, is hardly in need of a descriptive tag line. I also strongly recommend other articles by Markoff.