NEW GENERATION STRATEGIC PLANNING: ARTIFICIAL INTELLIGENCE AS A TOOL FOR IMPROVING THE EFFICIENCY OF MANAGING THE SOCIO-ECONOMIC DEVELOPMENT OF SINGLE-INDUSTRY TOWNS (BASED ON THE MATERIALS OF THE REPUBLIC OF KAZAKHSTAN)

The results of a study the development forecasting the tools the balance on devoted of migration to artificial intelligence technology in order to improve the effectiveness of strategic planning for the socio-economic development of single-industry towns in the Republic of Kazakhstan. Currently, there are no universal methodologies for forecasting socio-economic indicators and characteristics of migration processes. At the same time, the amount of budget funds allocated for human resources, social infrastructure and measures that determine the trajectory of the development of single-industry towns directly depends on the accuracy of the forecast of the migration balance. This article provides an analytical review of existing research in the field of forecasting migration processes, which revealed the lack of representation of artificial intelligence models, in particular adaptive neural networks, in this area. The purpose of the study is to develop tools for predicting migration balances based on artificial intelligence technology in order to improve the effectiveness of strategic planning for the socio-economic development of single-industry towns in the Republic of Kazakhstan. The result of the study is a methodological approach and tools for forecasting the migration balance, applicable in the context of single-industry towns of the Republic of Kazakhstan. The proposed approach and tools are characterized by potential versatility in the field of forecasting socio-economic indicators. The described results can be used in further research in the field of forecasting and planning, as well as to evaluate the effectiveness of management decisions, in particular, in the implementation of evidence-based policies focused on the development of single-industry towns.