Abstract
When Gartner released its annual Hype Cycle for Emerging Technologies for 2014, it was interesting to note that big data was now located on the downslope from the “Peak of Inflated Expectations,” while the Internet of Things (often shortened to IoT) was right at the peak, and data science was on the upslope. This felt intuitively right. First, although big data—those massive amounts of information that require special techniques to store, search, and analyze—remains a thriving and much-discussed area, it’s no longer the new kid on the data block. Second, everyone expects that the data sets generated by the Internet of Things will be even more impressive than today’s big-data collections. And third, collecting data is one significant challenge, but analyzing and extracting knowledge from it is quite another, and the purview of data science.
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