Data capture, data governance, and availability of services are among the biggest challenges IT will face in creating an IoT analytics environment. IoT analytics will also place new pressures on network infrastructure. Depending on the application and industry, IoT’s requirements will create more demand for additional bandwidth and less tolerance of latency within the network infrastructure.
Stories by Bob Violino
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You've probably been hearing a lot lately about the Internet of Things (IoT). The IoT (see: "The IoT: A Primer" at the end of this piece), while still in the early stages of development, is slowly making its way into the mainstream as more objects become connected via technology such as radio frequency identification (RFID) and the iniquitousness of the Internet.
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The rapid growth of mobile devices that can access corporate networks and data, the expanding use of cloud-based IT services, and the increasing popularity of apps such as online banking mean that IT needs to pay closer attention to authentication.
When people talk about the Internet of Things (IoT), the most common examples are smart cars, IP-addressable washing machines and Internet-connected nanny cams.
Chances are you've heard about the Internet of Things (IoT)—or you will soon enough. The term carries a number of definitions. But in general, the IoT refers to uniquely identifiable objects, such as corporate assets or consumer goods, and their virtual representations in an Internet-like structure.