Data Processing in Industrial Internet of Things (IIoT) Applications : Industrial Agility

This article considers the framework of IoT (Internet of Things) and IIoT (Industrial Internet of Things) as a driving factor in the development of new industry functionality for industrial production control systems. And the natural language processing used is related to artificial intelligence (AI) and mathematical linguistics. From a scientific point of view, this factor implies the problems of computer analysis and synthesis of texts in natural languages, where analysis means understanding the language, and synthesis means generating literate text. Processing techniques for converting unstructured data into information understandable to artificial intelligence systems are analyzed so that such systems can take on some individual functions of human intelligence, and on the other hand, provide business users with opportunities for how and when they can have access to such resources. The uniqueness of this development lies in a serious change in the culture of using such solutions, where each authorized business user has access to the source data, based on which such users can conduct their own analysis, with their own tools. And developers can add additional functionality using their authorized ecosystems. Thus, this development implies a new approach to isolated data in the field of business applications in industrial sectors. Such a transition expands business opportunities in its subject area and is a motivating force.