DOI: https://doi.org/10.33917/es-3.183.2022.142-147

Real economic growth and development is no longer conceivable without digital revolution achievements. However, to this day, introduction of these achievements into the national economy is far from being the easiest task, since its solution entails a number of methodological and conceptual problems. That was also understood in the USSR after the end of the Second World War, when society for the first time in history thought about improving the national economy management based on the latest technological solutions. The project of automating economic planning, officially called the automated system of planning calculations (ASPC) became a new unique solution of that time. Such a system was supposed to bring Soviet planning to a qualitatively higher level, however, due to theoretical and methodological contradictions contained in the concept, the Soviet digitalization project initially went the wrong way and was never brought to its logical conclusion. The question is whether it was possible to implement ASPC with the same capacities, but with the different theoretical and methodological basis.

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DOI: 10.33917/es-7.165.2019.94-104

The article examines two approaches to formation of a national data management system (NDMS). The first approach is based on applying statistical data for predictive analytics to forecast the future. However, to ensure social progress, a proactive approach is required, aimed at creation of such a NDMS, which can be used to build the future implementing moral values. The authors substantiate that a proactive approach should be based on the principles of economic cybernetics, which allow to develop and introduce proactive artificial intelligence (AI) for improving the economic management efficiency. Its core is a Dynamic Model of Interbranch-Intersectoral Balance (MIIB), representing a system of algorithms for matching end consumers’ orders and manufacturers’ capabilities. The MIIB table, which presents all the relationships of economic agents, defines the architecture of the National Data Management System (NDMS) for the proactive AI functioning

Crisis processes in the economy are often presented as consequences of external factors, and not of inefficient state decisions. The authors of the article propose to consider the economy as a complicated multi-factor system, which should be influenced through state economic regulation. The forthcoming digital transformation of economic processes and immersion of all economic entities in the digital space bring both opportunities and threats for the Russian Federation. Digital images of subjects and digital traces of their interactions in the course of economic processes are beginning to acquire value, becoming digital assets. Using a platform approach in the economy at the state level, on the one hand, will ensure digital sovereignty of the country, and on the other hand it will allow to use digital assets as an accurate and operative information base for modeling economic processes that will provide quality and effectiveness of the state regulation.