This study evaluates the nonlinear relationship between living standards and economic growth in the Qashqadaryo region during 2010–2024 using the ANFIS (Adaptive Neuro-Fuzzy Inference System) model. Based on semi-synthetic data close to real statistics, key indicators include income index, infrastructure, and digital infrastructure. The ANFIS model demonstrated high accuracy (R² = 0.977), revealing a strong synergy between income and digitalization, with 3D surface analysis highlighting digital infrastructure as a key growth driver. The results provide practical guidance for regional development strategies

This study evaluates the endogenous drivers of economic growth in Kashkadarya region using statistical data from 2010–2025 through neuro-fuzzy (ANFIS) and multilayer perceptron (MLP) models. Household income, traditional and digital infrastructure were selected as key indicators. The ANFIS model achieved high accuracy (R² = 0.977; RMSE = 0.40; MAPE = 7.8%), effectively capturing nonlinear economic relationships. A 3D surface plot highlighted the strong synergy between digital infrastructure and income. In comparison, the MLP model yielded slightly lower accuracy. The results suggest that investing in digital infrastructure and applying endogenous modeling approaches are crucial for strategic planning

The article analyzes the theoretical and practical foundations of the mutual integration of various financial and economic systems. The main focus is on the interrelationship between economic systems, the individual, and the environment based on a systematic approach and "Safety Cube Theory." The study analyzes capitalist, Islamic, centralized, digital, and inclusive economic models and puts forward the basic principles of their joint sustainable development

This article analyzes the importance of integrating artificial intelligence (AI), data analysis (Data Science), and project management (Project Management) in developing the professional competencies of managers being trained in higher education institutions. In modern competitive conditions, managers are required to have the skills of strategic thinking, developing innovative solutions, and making quick decisions. Therefore, the effective use of AI and Data Science technologies opens up opportunities for making data-based management decisions, while Project Management methods serve to effectively organize projects and coordinate teamwork. The synergy of these areas is justified by the strategic importance of developing the professional competencies of managerial personnel in the digital economy.

This article analyzes the characteristics and development prospects of entrepreneurial activity in the healthcare system of the Republic of Uzbekistan. Based on the current regulatory and legal framework, including the Law “On Healthcare” (1996), the Law “On Public-Private Partnership” (2019), the “New Uzbekistan Development Strategy” (2022–2026), as well as presidential decrees, the priority directions for improving the entrepreneurial sector are outlined. The study highlights the main challenges hindering the growth of private healthcare, such as bureaucratic procedures, a shortage of qualified personnel, and limited financial resources. It emphasizes the necessity of integrating entrepreneurial entities into the system of mandatory health insurance, supporting new initiatives in the regions, and introducing innovative technologies. In conclusion, it is argued that the synergy between state policy and private initiative plays a crucial role in ensuring the stability and competitiveness of the healthcare system.