Building Operational Intelligence

Building Operational Intelligence

Typical industrial automation methods in the digital age excel at monitoring field conditions and executing prescribed logic to perform real-time control. Human operators are still involved to some degree in most automation implementations, and they are integral decision makers in many cases. But maximum benefit—in terms of performance, efficiency, and quality—is achieved when the automation system effectively informs operators, who in turn make decisions to improve performance.

Gartner defines this type of “decision intelligence” as “a practical domain framing a wide range of decision-making techniques bringing multiple traditional and advanced disciplines together to design, model, align, execute, monitor and tune decision models and processes.”

Unfortunately, most automation systems in service today are limited with regards to decision intelligence. However, by combining aspects of modern artificial intelligence (AI), industrial internet of things (IIoT) technologies, and human intelligence, a digital decision-making framework is enabled. Using innovative hardware/software architectures and this approach makes it possible to build true decision intelligence into manufacturing and processing applications of all types, leading to operational intelligence, and creating an artificial intelligence of things (AIoT).

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