The future of IoT: Two research advances from the lab

By Joe Mariani

Excerpt: Businesses need to keep pace with technology developments to stay competitive.
In today’s environment of technology-driven change, businesses have a vital need to know what the next technologies will be. The sooner a company knows what technologies are coming, the sooner it can begin to build business models and strategies to take advantage of them. New technologies can emerge from any number of sources, from the military to a student’s dorm room. But many of the cutting edge advances that will likely drive future change are also currently experiments in the labs of computer scientists. This blog will highlight two such research advances which point towards the future of the Internet of Things (IoT) and all of the industries that it touches.

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The Journey to Industry 4.0: Watch the Webinar

By Brenna Sniderman

One question I get a lot focuses on the difference between Industry 4.0 and the Internet of Things. “Aren’t they the same thing?” Well, they are and they aren’t. The Internet of Things is a construct by which objects are connected and made smarter. Industry 4.0 connotes the fourth Industrial Revolution, in which this interplay between digital technologies and the physical world is scaled to an industrial level to enable connected production, supply chains, business operations, and beyond. In essence, it’s a scaled up, amped up, industrialized version of the IoT—which is why Industry 4.0 is also known to some as the Industrial Internet of Things.

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Splitting image: How digital twins can drive value

By Jonathan Holdowsky

I have heard it said that, somewhere in the world, there is someone who could be your exact double. Now, I’m not referring to genetic twins. I am talking about look-alikes who have no blood relation to you whatsoever. Whatever its scientific basis, this spooky notion has often found its way throughout literature, mythology, and film. The Germans name this ghostly counterpart a “doppelganger”; the French, a less awkward “sosie”. That there could be a twin stranger somewhere in the world may strike you as unsettling—or quaintly amusing. But if you ever did cross paths with your doppelganger, you could at least take solace in the fact that the resemblance would be merely skin-deep. This mirror companion would not actually be you.

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Five steps to reach Smart Predictive Maintenance

By Chris Coleman and Ryan Manes

Smart Predictive Maintenance accelerates the maintenance journey and has potential to increase machine availability and visibility across an entire asset network.

New techniques can improve plant throughput

Maintenance professionals today can face a number of issues, often including outsourcing, cost cutting, scarcity of experienced labor and increasing complexity of equipment. Whatever the challenge, maintenance and reliability professionals share a common goal – to maximize machine availability. Yet traditional maintenance programs can only take you so far. In fact, machine failures go well beyond statistical time-based failure. Recent studies show that only 20 percent of machine failures are time-based, while the other 80 percent of failures occur either in the infant mortality startup phase or most often due to random or unknown failure.1 But truly, no failure is random, only that the root causes have gone unidentified. Modern maintenance techniques can help detect impending failures before they happen with typically more accuracy than time-based approaches. For manufacturers, exceptional asset maintenance can be a strategic differentiator in improving a plant’s throughput, efficiency, quality and safety.

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