employee from 01.01.2025 until now
Moscow, Moscow, Russian Federation
VAK Russia 5.2.3
VAK Russia 5.2.4
VAK Russia 5.2.5
VAK Russia 5.2.6
VAK Russia 5.2.7
UDC 332.12
UDC 332.122
The article examines the possibilities of applying artificial intelligence systems for forecasting socioeconomic imbalances in regional development. The concept of algorithmic monitoring based on the integration of statistical and digital data is substantiated. It is shown that machine learning methods make it possible to identify early signs of economic stagnation as well as demographic and labor imbalances. The results can be used to improve the effectiveness of territorial development management in Russian regions.
regional development, artificial intelligence, and algorithmic management
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