Medvedeva E.I., Kroshilin I.S. A new paradigm for the introduction of artificial intelligence in Russia: point solutions to industrial problems. Regional problems of economic transformation. 2025. No. 11 (181). Pp. 121-135. DOI: 10.26726 ...

Текст статьи на сайте журнала URL: http://www.rppe.ru/new/index.php/rppe/article/view/3116 (дата обращения 13.01.2026)

Abstract

Information technology (IT) is used everywhere, and it can be argued that the era of digitalization has begun since the 90s. New design and modeling systems appeared in production, as well as complex enterprise-scale information systems to optimize all business processes and increase their efficiency. Today, technologies are "capable of not only finding and making decisions" based on the available data, but also offering solutions based on machine learning, computer vision and neural networks. Such technologies use "Artificial Intelligence" (AI) in the processes of communication, content creation – text, pictures, videos, "generation of new" knowledge, and can also manage "unpopulated production" – a fully automatic enterprise. It is obvious that AI-based solutions are aimed at improving the efficiency of domestic enterprises. Significant funds have been invested in the creation and development of AI by global IT industry leaders. If at the stage of "training" the systems and their testing for users, most of the services are free, then in the future, with a high degree of probability, we can assume a transition to their "paid". That is why it is necessary to develop and implement these technologies based on domestic developments. The article presents the results of the author's research on these issues using open sources of information based on methods of content analysis, statistical processing and data visualization. The main models of AI implementation and promising cases of domestic manufacturing enterprises are analyzed. The results obtained can be in demand not only by representatives of the legislative and executive authorities, but also by a wide range of researchers (scientists) dealing with AI problems.