Healthcare IIoT: Ideas are Easy. Execution is Hard.

With each passing day, we find a new market or application where the Industrial Internet of Things (IIoT), Artificial Intelligence and Machine Learning are going to redefine life as we know it. I have high hopes for what the IIoT and AI/ML can do for transportation, smart grid, smart home, industrial automation, etc., but I don’t believe any of these applications will have as profound of an impact on the human race as the application of IIoT and AI/ML to Healthcare.

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Achieving Interoperability is HARD! Here’s a Strategy that Works.

Any system engineer, architect, and integrator can attest to this: achieving interoperability is hard, and integrations are usually not straightforward.

We can chalk this up to a variety of reasons, but here are my personal favorites:

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25 Partners, the IIoT, and a Smart Grid Demo at Distributech 2016

At DistribuTECH 2016, the second week of March in Orlando FL, Duke Energy and 25 partners demonstrated a distributed microgrid application scattered across 12 booths on the show floor. As the culmination of Duke’s Coalition of the Willing Phase II (COW II) project, it demonstrated near-real-time microgrid use cases like optimization, islanding and grid resynchronization. Each booth was connected via wireless networks and running a part of the overall microgrid demonstration, all based on the new OpenFMB (Open Field Message Bus) distributed device interoperability framework using open Industrial IoT protocols. DDS was one of 3 IoT publish-subscribe protocols utilized in the simulated demo and underpinned the SCADA control messages between OpenFMB nodes.

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The Future of Automotive

We're working with our customers to share with you their stories and insights, to offer you a rare glimpse into the future of systems from some of the world’s most exciting and innovative industries and development teams. Enjoy!

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Building Flexible Manufacturing Systems for Industrie 4.0

Many discussions on the industrial internet of things (IIoT) describe how all kind of sensors will be connected to the cloud, where the big data analytics beast will consume lots of data to provide you with efficiency optimizations. Huge cost savings are especially promised in the energy and transportation sectors. The medical industry, on the other hand, sees an opportunity to provide better and safer care, by integrating patient monitoring devices, and correlating the data or by merely reducing the amount of erroneous alarms.

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Guest Post: Accelerating the IoT - Adding Security in Legacy Systems

This post, penned by Geoff Revill, was originally published on linkedIn (here). We liked it so much that we wanted to share it with you all. Thank you, Geoff!

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