AutomatedBuildings.com Editorial

October theme; When Evolution Turns to Revolution

Defining the changes driving the self-learning edge revolution

Last month theme "The Self Learning Edge Revolution" has been well received and has started some very interesting discussions, online on social media, and off line in the coffee shops and back rooms of the industry. What are they talking about? Are we really poised for revolution?

It has been observed that what we may be talking about is just an extremely rapid evolution. Yes, that is correct, but when the blur of this amazing rapid evolution catches our industry flat footed it looks a lot like a revolution to those not keeping up with what is happening in the world of IoT and self-machine learning.

With an empowered population participating in the self-learning edge device maker culture, the movement has the feel of a revolution. The DIY builder uses new open tools to bring ideas to fruition quickly and at a low cost, to keep the rapid evolution moving forward at a speed that blurs into revolution.

Yikes, I was just talking last month, but several people are actually doing what we are talking about. We have opened a lot of maker and creator's doors and they are well into the creation of the new breed of Self-Learning Edge products.

In the below article the spirit of the revolution is encapsulating in the quote "If you can dream it, you can do it"

Creators and Makers Once we have tested and allowed a few of our friends to play with the controller we will be looking to fund a much larger run with the final design. Kickstarter or Indiegogo will be chosen to help us get the controller out to more individuals.

So what are some of the changes driving the self-learning edge revolution?

Stuff that is really open and available to all that scales on an IoT level. This allows makers rapidly scalable development at low cost; things that have always presented a barrier to our closed industry that is manipulated by a few.

Connection to the millennium maker culture we need to create an open path to our industry, we need to work hard to be openly accessible, not proprietary and completely closed, as we have in the past. Our future depends on our connection to new folks with new IoT ideas. The danger is if we are not involved they will engineer their own work a rounds our industry.

“Thin” cloud: builds applications on generic services, built-in integrations as-a-service to other products to allow leveraging by the maker culture.

"Thicker" cloud by majors example; GE and Bosch to create open-source industrial IoT platform https://www.siliconrepublic.com/machines/iiot-ge-bosch-open-source

Smart city Cities--new and old, large and small--are looking for ways to differentiate themselves and provide stimulating environments for their constituents to generate economic wealth; be healthy and safe; learn and evolve; have the cultural richness and sustainability; be productive; innovate; all while staying environmentally conscientious.

Smart grid the combined market for Energy Software in Smart Buildings (comprised of Enterprise Energy Management, BECS Supervisory Software and Smart Building to Smart Grid Interface Software) will rise to nearly $10Bn by 2020, with related software on the Smart Grid side growing at a healthy 12% CAGR to nearly $2bn by 2020.

Self or Machine Learning This article explores the significance and evolution of IoT edge analytics. Since the author believes that hardware capabilities will converge for large vendors, IoT analytics will be the key differentiator. PMML becomes important for the ability to deploy models in multiple locations: Predictive Model Markup Language (PMML) PMML is an XML-based predictive model interchange format. PMML provides a way for analytic applications to describe and exchange predictive models produced by data mining and machine learning algorithms. It supports common models such as logistic regression and feedforwards neural networks. (Wikipedia)

As always this new issue is an amazing collection of great articles, columns, reviews, new products, interviews and of course the steady stream of news depicting our rapid evolution turned revolutionary journey to the self-learning edge.

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