Following the success of industrialization and automation, artificial intelligence needed to be taught to make decision and provide operational commands to equipment and system. With the insights gathered out from the problem, Prescriptive analytics helps to derive solution and preventing issues before problem occurs. The results are shared with machine cognition for learning and also can be a methodology in deriving at “new” and “unconventional” solutions.
New issues on equipment, process and operation would provide unstructured data and input into the evaluation matrix. The unstructured data and information will have to be analyzed to understand the reason of such omission while revising the matrix and the control logic.