
Establishing the right analytics-based maintenance strategy
The assumption that predictive maintenance is the only advanced, analytics-based use for IIoT data in the maintenance world has created a great deal of misconception and loss of value. In this recent article, McKinsey takes a comprehensive look at all uses of IoT data and advanced analytics for maintenance purposes is therefore a crucial step in determining which technology—or combination of technologies—to employ.

Optimizing manufacturing processing and quality management with digital twins, IIoT
The Industrial Internet Consortium was founded in 2014 to "bring together the organizations and technologies necessary to accelerate the growth of the industrial internet by identifying, assembling, testing and promoting best practices." They recently published an article in Control Engineering that examines the concepts and practices on the design, implementation and preliminary outcomes based on a real-world use case in a production process control and quality management application in the steel industry.


Water 4.0: Reducing energy consumption with data analytics
With increasing water demands and ever-evolving environmental regulations, the water industry - and those who rely on water within their operations - is having to think of new ways to increase energy efficiency and optimize operations. In this recent article in WaterWorld Magazine, read about how process experts can easily use advanced analytics software which can lead to energy consumption reductions, process optimizations, and maintenance schedule improvements.
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