The role of artificial intelligence technologies

N. A. Rebus ; I. G. Blagoveshchenskiy ; O. V. Ratanova ; F. A. Mastyaev

News of the Kabardin-Balkar scientific center of RAS, Tome 27 (2025) no. 2, pp. 37-54.

Résumé

t. The digital transformation of a business means the digitization of many processes in an enterprise, i.e. it assumes the implementation of processes using computer technology and IT technologies. At the same time, it is important to organize the effective integration of existing processes in the enterprise with modern IT technologies. Such integration may concern not only production, but also other areas of human activity. Of course, many industries have been automated to varying degrees before, but the advent of artificial intelligence (AI) can smooth out the difference between industries with varying degrees of automation and optimize processes, even if some of the fields of activity do not involve the use of AI. Nevertheless, the process of digitalization in the vast majority of cases will accelerate decision-making if AI systems are used, in particular a digital twin. This optimizes data collection, which will allow them to be used to create models of objects or systems. In the future, the model will be used to analyze and optimize work without the physical presence of an object. All of the above determines the relevance of the topic of determining the role of artificial intelligence in the transformation of Russian business. In this article, the authors reflect on the problem "What is needed for the development of new data analysis technologies in production? And how can we improve the data environment?" The article provides an overview of the history of the use of artificial intelligence in business. The weaknesses of using artificial intelligence technologies are discussed. An attempt is being made to answer the question of what needs to be done today so that an enterprise or organization can take a leading position tomorrow.

Détail

Keywords: artificial intelligence, digital twins, big data, machine learning, machine learning model

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