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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The rise of complexity in digital supply networks

By Stephen Laaper

The move to digital supply networks can be daunting, especially when organizations consider how exactly to implement these solutions into their existing supply chain. With so much information and hype about digital, it can be hard for organizations to know what works for them and what might be a hidden roadblock. However, when the digital transformation is implemented correctly, it can also seamlessly enable an organization’s digital operations.

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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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2016: A year of advancing Internet of things (IoT) applications

By Hemnabh Varia and Monika Mahto

It’s been 15 years since the term “Internet of things” was coined by Kevin Ashton, a technologist specializing in sensors and RFID.1 Since then, various applications of IoT have evolved in industries such as automotive, healthcare and consumer goods, among others. The various technological developments in the IoT space can be explained through the information value loop (IVL), which serves as a linchpin for evaluating these advancements, and linking them in order to create value for companies as well as customers. Refer to the paper, “The more things change: Value creation, value capture, and the Internet of Things” for detailed discussion of the value loop.

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Do you sense what your smartphone sensors are saying?

By Deepan Kumar Pathy and Preeta Banerjee 

Are you aware of the number of times you use the sensors embedded in your smartphone without even knowing it? Be it to tilt your smartphone to view an image in the landscape position, or to automatically deactivate the touchscreen while on a call, the sensors in your smartphone are always in action. These examples are barely the tip of the iceberg. Sensors have been a part of smartphone design since their inception. The current generation of smartphones are embedded with as many as 16 sensors, and each sensor is always active, receiving and sending signals, for use by apps or directly by users.

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