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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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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Why advanced manufacturing matters

Posted by Michelle Drew Rodriguez

Today’s manufacturing is increasingly driven by advanced technology and innovation–in some places, the most advanced, where the digital and physical worlds have fully converged. Manufacturing is a central part of our lives and more essential than ever to economic competitiveness and national prosperity. But today, we face an increasingly competitive global environment where America’s technology and innovation leadership faces fresh and persistent challenges.

Advance manufacturing industry facts

Figure 1: Advance manufacturing industry facts

In the United States, advanced industries represent 17 percent of GDP. They are a catalyst for innovations that increase productivity and profit margins across the entire economy. They’re a source of high-skill, high-paying jobs—since 1975, average wages in US advanced industries have increased five times as much as in industry overall. And for every job created in technology-intensive manufacturing, 16 additional jobs are created. Today, advanced industries employ and support 40 million workers. These industries elevate an entire nation’s standard of living and generate the high-tech exports that drive a nation’s ability to compete globally.

High-tech manufacturing fuels innovation. Twenty-first century manufacturing competitiveness has brought the digital and physical worlds into full convergence and today advanced hardware meshes seamlessly with advanced software, sensors, big data, and analytics. The result? Not only smarter products and processes, but also more closely connected customers, suppliers, and manufacturers. In the United States, advanced industries employ 80 percent of the engineers, generate about 85 percent of new patents, perform 90 percent of private-sector R&D, and account for 60 percent of all exports.
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The future of additive manufacturing, now…

Posted by Preeta Banerjee

The future of additive manufacturing

Imagine a world where metal objects could be flawlessly printed on a machine, rather than cut, soldered, or molded. More interesting, imagine a world where objects embedded with electronics such as smart sensors could be printed into objects by machines that could mix different “inks” such as metals, plastics, and glass. These smart sensors could easily make learning opportunities in the physical environmenti as well as create opportunities for connected devicesii that assist us in our work and play. That future is not too far away as metal printing reaches into the future.
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