Someday, probably sooner than we think, much of our lives will be recorded by sensors. Whether it’s armbands tracking our heartbeats or dashboards monitoring our driving or smart phones pinpointing where we are at all times, we, as defined by our preferences and habits, are becoming part of the staggering swirl of data already out there in cyberspace. With so much personal information now in play, a lot of people are nervous about who owns it and what they’ll do with it. As they should be. But there’s also the question of how to make sense of it all. Can all this seemingly random data be reconfigured into patterns that not only do the obvious–allow businesses to zero in on customers–but also help deal with ridiculously complex matters, such as slashing health care costs or forecasting the stock market?
Consider the possibilities in health care. In the past, anyone analyzing who gets ill and why had to rely on data skewed heavily toward sick people–statistics from hospitals, info from doctors. But now, with more and more healthy people collecting daily stats on everything from their blood pressure to their calorie consumption to how many hours of REM sleep they get a night, there’s potentially a trove of new health data that could reshape what experts analyze. As Shamus Husheer, CEO of the British firm Cambridge Temperature Concepts, told the Wall Street Journal, “You can compare sleep patterns from normal people with, say, pain sufferers. If you don’t know what normal sleep looks like, how do you tease out the data?”