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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Women in Engineering: A Story for your Daughter

Recently, I got the opportunity to present to a group called, “Women Who Code (WWC),” a society for women in software engineering careers. I decided to start with a story that I made up for my daughter when she was little. The kid’s version is contained at the bottom of this post; if you have time, please check it out. But, since you’re likely a harried grown up, here’s the Reader’s Digest version: 

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Binge-Worthy Listening: Announcing the First RTI Podcast for the IIoT

If you knew there was a way to learn something new or be inspired in about 30 minutes, would you say no? What if it could make you better at your job? Keep that in mind.

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#TBT: From Predicting to Propelling the Industrial IoT

If you missed it, you should check out the recent press release about RTI’s growth in the Industrial Internet of Things (IIoT). It’s really a great time to be RTI! Sure, from a business perspective all the vectors point the right way. But for me, the most exciting things in that press release aren’t numbers.  I’m more amazed that we get to play with so many futuristic applications. Carbots? Renewable energy? Smart healthcare? Hyperloop? Flying cars? Wind turbines? CT scanners? We got ‘em all. And new things show up all the time.

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Hey, Charlie Miller! Let's Talk About Securing Autonomous Vehicles

A recent Wired article on Charlie Miller (infamously known for remotely hacking and controlling a Jeep) claims that “open conversation and cooperation among companies” are necessary prerequisites to building secure autonomous vehicles. This seems rather far-fetched when so many companies are racing to dominate the future of the once-nearly-dead-but-newly-revived (remember the Big Three bailouts?) automotive industry. As naive as that part of the article sounds, what really blew my mind was the implication that the answer to re-designing security lies solely within the autonomous-vehicle industry.

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Fog Computing: IT Compute Stacks meet Open Architecture Control

Fog computing is getting more popular and is breaking ground as a concept for deploying the Industrial IoT. Fog computing is defined by the OpenFog Consortium as “a system-level horizontal architecture that distributes resources and services of computing, storage, control and networking anywhere along the continuum from Cloud to Things.” Looking further into the definition, the purpose is to provide low-latency, near-edge data management and compute resources to support autonomy and contextually-aware, intelligent systems.

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