Google Data, Statistics, and the Semanticized Web

I imagine that Google employs many hundreds of data scientists, folks whose job is to study and turn to good use the huge masses of data the search-advertising-application services giant, and its users, generate. Each document indexed, each search, each ad served, each service call creates data. This data is used to create a better Google: easier to use, faster, more accurate, effective, and functional, and yes, more profitable. Google Instant, out a couple of weeks ago, is a latest initiative toward these ends.

I imagine that Google employs many hundreds of data scientists, folks whose job is to study and turn to good use the huge masses of data the search-advertising-application services giant, and its users, generate. Each document indexed, each search, each ad served, each service call creates data. This data is used to create a better Google: easier to use, faster, more accurate, effective, and functional, and yes, more profitable. Google Instant, out a couple of weeks ago, is a latest initiative toward these ends. I’m salivating (figuratively) at the thought of the new data it generates.

This article uses Google Instant as a jump-off point, so if you’re not yet familiar with Instant, the video mashup Google Instant with Bob Dylan will show you how it works, worth 46 seconds of your time.