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 applications.
Industrial IoT Automation Challenges
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.
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.
This ensures that changes in the IT configurations are properly reflected on the field.
Extensive Whitepaper on Industrial IoT Implications
This whitepaper discusses IIoT Disruption and Digital Transformation. It defines the business cases, predictive maintenance, flexibility in Industrial IoT Automation, optimal Supply Chain operations and how to improve the quality of operations.
Moreover, we identify the simulation of complex processes, technology enablers and building blocks, as well as IIoT’s deployment challenges. Discover the adaptation and migration of legacy systems; security, privacy, and trust, and leveraging standards in Digital Transformation.
As experts in recruiting senior executives and functional leaders for Internet of Things data and devices, LED lighting, and industrial IoT automation, in this whitepaper we also reveal the talent Gap in IIOT technologies. The talent gap is evident in senior engineering and executive levels. Riding the Industry Digitization Wave with IIoT:Challenges and Implications whitepaper. Click here to view and download.