Industrial IoT Automation Digital Wave Whitepaper 

Industrial IoT automation dictates that all predictive maintenance systems hinge on the processing of data from many IoT devices, which renders predictive maintenance one of the most common IIoT applications.

Moreover, as predictive maintenance leads to improved OEE, reduced labor for performing the maintenance and better planning of related supply chain operations, it is increasingly considered one of the killer applications for IIoT.

With IIoT reconfigurations take place at the cyber world based on digital technologies rather than at the physical world where processes are much more tedious and time consuming. IIoT automation systems provide a seamless link between the cyber and physical worlds, which ensures that changes in the IT configurations are properly reflected on the field.

Whitepaper:  Industrial IoT Automation Digital Wave – Challenges and Implications
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Whitepaper: Industrial IoT Automation Digital Wave – Challenges and Implications
IIoT facilitates not only the collection, but also the analysis of this data towards process optimization. it enables the execution of actuating services based on quality parameters, such as tuning of the rate of operations of a machine.

Kelley Reinhardt

Partner | Executive Search Consultant with 20+ years recruiting senior executives and functional leaders in cyber security, mobile digital media and network operators, industrial manufacturing, Internet of Things, robotics, and industrial power systems.

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