In the IIoT, more/better data leads to better decisions

By Rich Nass

Contributing Editor

Embedded Computing Design

June 08, 2017

Blog

In the IIoT, more/better data leads to better decisions

Is it me, or does Red Hat seem to fly under the radar? The company has great technology, but they’re quite humble. Here’s an example: I came across this whitepaper recently called Intelligent...

Is it me, or does Red Hat seem to fly under the radar? The company has great technology, but they’re quite humble. Here’s an example: I came across this whitepaper recently called Intelligent Gateways for the IoT. It focuses on the Industrial IoT (IIoT), and it provides lots of great information for developers. I feel it’s my duty to make this whitepaper known to you, especially for those industrial IoT developers.

In a nutshell, the IIoT is bringing us a host of intelligent applications, things that need to be monitored and analyzed. Going one more step, in many (most?) cases, some sort of action needs to be taken based on that data. That’s where Red Hat and its software tools really shine. By intelligently gathering and analyzing massive amounts of data, smart systems can optimize the industrial control processes, and improve productivity, thereby resulting in better decision making.

Rich Nass is a regular contributor to Embedded Computing Design. He has appeared on more than 500 episodes of the popular Embedded Executive podcast series, and is a regular contributor to the Embedded Insiders podcast.

Rich has been in the engineering OEM industry for more than 35 years, and is a recognized expert in the areas of embedded computing, Edge AI, industrial computing, the IoT, and cyber-resiliency and safety and security issues. He writes and speaks regularly on these topics and more.

Rich is currently the Liaison to Industry for the Embedded World North America Exhibition and Conference, and has held similar positions with the global Embedded World Conference and Exhibition.

Previously, Rich was the Brand Director for UBM’s award-winning Design News property. Prior to that, he led the content team for UBM Canon’s Medical Devices Group, as well all custom properties and events.  In prior stints, he led the Content Team at EE Times, handling the Embedded and Custom groups and the TechOnline DesignLine network of design engineering web sites.

Nass holds a BSEE degree from the New Jersey Institute of Technology.

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