Alistair Croll of Radar recently opined, “The Internet of Things (IoT) has a data problem. Well, four data problems. Walking the halls of CES in Las Vegas last week, it’s abundantly clear that the IoT is hot. Everyone is claiming to be the world’s smartest something. But that sprawl of devices, lacking context, with fragmented user groups, is a huge challenge for the burgeoning industry. What the IoT needs is data. Big data and the IoT are two sides of the same coin. The IoT collects data from myriad sensors; that data is classified, organized, and used to make automated decisions; and the IoT, in turn, acts on it. It’s precisely this ever-accelerating feedback loop that makes the coin as a whole so compelling. Nowhere are the IoT’s data problems more obvious than with that darling of the connected tomorrow known as the wearable.”
Croll believes the first problem is that no one wants to wear fifty devices: “If there’s one lesson today’s IoT start-ups have learned from their failed science project predecessors, it’s that things need to be simple and turnkey. As a result, devices are designed to do one thing really well. A corollary of this is that there’s far too much specialization happening — a device specifically, narrowly designed to measure sleep, or eating speed, or knee health………
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