Often when discussing the internet of things, we tend to go on and on about collecting data and the potential efficiencies that come from understanding that data. The assumption is that much of that understanding will come in the form of an algorithm, but an article by John Hagel and John Seely Brown offers another viewpoint. Hagel articulates a world where the internet of things requires human intervention because while the computers and data derived by connected objects and processes might show us problems or outliers, it takes a human to see those outliers and redesign the process to eliminate them. It’s that process that drives even more efficiencies. From the article: “The goal is to pull all of the data back into a human sphere where people can add value.”
Read the full story at Giga OM, and the original piece at Techonomy.