IoT News

ARE EDGE COMPUTING AND IIOT CHANGING THE WAY WE THINK ABOUT DATA?

Issued Time 2019 - 07 - 20BY King Pigeon Read 471Times

As we observe what’s happening in industrial enterprises, there’s an interesting evolution occurring—one that has important implications as companies make their first tentative steps toward the industrial Internet of things (IIoT).

Traditionally, operational technology (OT) teams have tended to think of their environment in terms of the automation equipment within their environment, both hardware and software. They might describe themselves as a “Rockwell shop” or a “Siemens shop.” They identified with the tools that made automation possible.

But that’s beginning to change. We’re now seeing an increasing number of organizations where engineers are focused less on the tools and more on the data that’s generated by their automation systems. This evolution reflects the increasing recognition that data and advanced analytics offer tremendous opportunities for unlocking business value. More and more, people are focused on data rather than applications. That’s a major shift in mindset.

What’s driving this shift? In part, it’s being driven by the explosive growth in data as a result of the increase in computing intelligence at the edge, closer to production processes.

What are the four “I’s”?

This is the first step in the progression to a true IIoT infrastructure—a progression I call “the four ‘I’s.” It starts with Insightful, using business analytics to drive insights and efficiencies. They can then progress to Intelligent, connecting elements across the infrastructure to enable real-time optimization. The ultimate state is Invisible, where decisions are made in real time based on artificial intelligence (AI) with no human intervention.

Most industrial enterprises are in the Informed stage, though forward-looking enterprises are thinking strategically about their roadmap to the more advanced phases. Some industries are progressing faster than others based on their perceived return on investment. For example, the food and beverage industries are actively embracing IIoT technologies. They recognize the value of using real-time data analytics to help ensure not only production efficiency but also the safety and quality of their products, which is critical to the value of their brands. Other highly regulated industries are seeing the value in production data to help ensure compliance.

Originally published on Stratus(c) istockphoto.com/ zhorazhuang | kupicoo

TagsEDGE COMPUTINGindustrial Internet of thingsIIOT