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"The widespread adoption of the Internet of Things will take time, but the time line is advancing thanks to improvements in underlying technologies," promised a report from McKinsey & Co. back in 2010. At that time, IoT benefits were pie in the (connected) sky and anyone predicting that IoT would become ubiquitous was tempted to use science-fiction analogies to explain the positive or negative long-term effects. (Not that there’s anything wrong with using science fiction analogies to make a point.)
However, it’s obvious that in the past several years, IoT has progressed from test use cases to organizational rollouts. That means plenty of lessons learned—ideally, not the hard way.
At the recent HPE Discover conference, Paul Muller spoke with Hewlett Packard Enterprise’s Dr. Tom Bradicich and industry analyst Daniel Newman to review how businesses have turned IoT technology into real-world results, yielding gains in business, engineering, and scientific value.
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As IoT is rolled out organizationally, they point out, businesses also are realizing the potential of data analytics. IoT is bringing us into a connected state, they assert, with new ways to extract data from traditional manufacturing, yielding better decision-making. Sensors let a manufacturer identify a problem sooner, for example.
They don’t shy away from the organizational struggles for power—which department owns these projects and which should? How does the cloud enter into these choices?
Have a listen.
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