THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN KAZAKHSTAN AND THE USE OF BIG DATA TECHNOLOGIES TO ANALYZE THE "DIGITAL FAMILY MAP" IN ORDER TO IMPROVE THE EFFICIENCY OF PUBLIC SERVICES

Abstract

The article examines the development of artificial intelligence and big data technologies in the Republic of Kazakhstan within the framework of the digital transformation of public administration. The relevance of the study is determined by the need to enhance the targeting of social policy and to improve the efficiency of public service delivery through the analysis of large-scale socio-demographic data sets. The aim of the research is to assess the potential of applying intelligent algorithms and big data processing tools in the analysis of the Digital Family Map as a component of the state information infrastructure. The study employs systemic and institutional analysis, a comparative approach, and elements of applied data analytics. The findings identify key directions for integrating intelligent technologies into public decision-making processes and substantiate their advantages in terms of forecasting accuracy and resource optimization. The scientific novelty lies in the comprehensive assessment of integrating intelligent data analysis technologies into the social sphere, while the practical significance is reflected in the potential to improve mechanisms for delivering public services.