Interesting post (content warning if pictures of brains disturb you) by Jonah Lehrer, whose book—The Decisive Moment—is well worth reading after you've finished Predictably Irrational. He argues that the industrialisation of science may mean that scientists move from being associated mainly with conducting experiments back to a greater emphasis on finding theories to explain masses of data.
This echoes the idea that, increasingly, we will be relying on data mining and machine learning in place of traditional sources of data and statistical techniques. This Business Week article, for instance, has been incredibly popular (and is a good, if sightly dull, read).
I think these techniques show loads of promise, although it will be a long time before most businesses are able to get sufficient control over the masses of data they stack up to feed much of it to the data miners. There are also, probably more here than in the US, data protection and privacy concerns in terms of the way we use indivdiual's data.
Most importantly, we need to be able to distinguish between the ability to predict something and the ability to explain it. This is like the difference between understanding that the sunrise is an illusion caused by the Earth's rotation, and worshipping the cockerel as an avatar of the sun god.