The article analyzes modern approaches to improving the risk management system in commercial banks of Uzbekistan. It provides specific statistical data on commercial banks for the period of 2022–2025. Definitions are given for credit, market, operational, liquidity, reputational, and compliance risks encountered in banking activities and practices, along with proposed measures to prevent these risks in the Uzbekistan market. In this regard, methods for risk reduction are suggested through the implementation of artificial intelligence and machine learning technologies, as well as integrated solutions that encompass international standards, technological innovations, and the development of human capital to enhance the financial stability of banks.

This article discusses the important role of managing operational risks in the banking sector, with a detailed analysis of this issue in the context of commercial banks in Uzbekistan. Significant changes are being observed in the countryʼs banking system, and managing operational risks is becoming an integral part of ensuring financial stability. The article delves deeply into the organizational and methodological challenges banks face in their risk management processes. The insights and recommendations presented in the article are hoped to serve as a foundation for future research and for developing strategies to manage operational risks in the local banking sector.

The article discusses the risks faced by commercial banks in their daily activities, which can negatively affect the financial condition and stability of banks. Banks face several types of risks in their activities. For this purpose, financial, operational, strategic, reputational, legal, international, natural disaster and environmental risks, medical and health, security, cost, technological risks are studied, and the requirements developed by the Basel Committee for studying the risks of banks are also studied.

This paper analyzes the risks of Islamic commercial banks and offers suggestions for their minimization. It discusses key risks, including credit, operational, regulatory, technological, and liquidity risks. Special attention is given to the impact of regulatory changes, digitization, and the implementation of new technologies on risk management effectiveness in Islamic banks. The paper proposes strategies to improve risk management systems, develop new financial products, and enhance financial literacy among employees. It emphasizes the importance of long-term stability and resilience of banks in the face of global changes.

This article examines the economic essence of the performance efficiency of Islamic financial institutions, their role in the modern financial system, and their significance in financing the real sector of the economy. The paper analyses the fundamental principles of Islamic finance, including the prohibition of riba, gharar and maysir, the reliance of financial transactions on real assets, the equitable distribution of profit and loss, and the compliance of financial operations with Shariah requirements. Particular attention is paid to the economic content, operational mechanisms, risk characteristics and profitability potential of Islamic financial instruments such as musharakah, mudarabah, murabahah, ijarah, salam, istisna, sukuk, qard hasan and takaful. The study substantiates the role of Islamic financial institutions in expanding financial inclusion, supporting small and medium-sized enterprises, financing investment projects and reducing systemic financial risks. The AAOIFI and IFSB international standards are considered important methodological foundations for the legal, accounting and prudential regulation of Islamic financial institutions. The article argues that the efficiency of Islamic financial instruments is reflected in their ability to distribute risks fairly, ensure asset-backed financing, strengthen social responsibility and contribute to sustainable economic development.

This article analyzes the implementation of artificial intelligence technologies in commercial banking, examining their impact on operational efficiency, credit risk assessment, and customer service systems. International best practices were compared with the current state of the banking sector in Uzbekistan. The findings indicate that AI can reduce operational costs, enhance fraud-detection efficiency, and improve service speed; however, challenges related to data quality, algorithmic transparency, and cybersecurity remain. The study provides policy recommendations and practical measures to address these issues and to improve the effective integration of AI in banking operations.

This study examines the impact of the new securities income payment order, implemented in June 2024, on the liquidity of Uzbekistan’s securities market. By analyzing stock market activity data from the first half of 2024 and August 2024, the research evaluates the current market conditions and forecasts potential changes under the new regulatory framework. The paper focuses on key aspects of the new order, such as centralized payments through the Central Securities Depository and the involvement of investment intermediaries. The findings suggest that the new order may enhance liquidity by speeding up payments and reducing operational risks. However, there may be temporary operational delays during the initial phase, which could negatively impact market activity. The study also reviews existing research on the effects of regulatory changes on liquidity in both developed and emerging markets. Unlike previous research, this study emphasizes short-term changes following the introduction of the new order and considers the unique characteristics of Uzbekistan’s market. Practical recommendations are provided to optimize the payment system and further improve market liquidity.

This article develops the theoretical and methodological foundations for a comprehensive assessment of banking service efficiency provided to individuals. The study proposes a multidimensional evaluation framework that integrates traditional financial indicators with customer satisfaction metrics, digital service quality, operational efficiency, risk management level, and institutional sustainability indicators. Furthermore, an integrated performance assessment model is designed to evaluate retail banking services in the context of digital transformation. The research findings contribute to enhancing customer-oriented banking strategies, improving service quality, and strengthening competitiveness in the retail banking sector.

Strategic financial planning is essential for improving the financial performance of logistics corporate structures in a rapidly developing global economy. This study examines the basic principles and methodology of strategic financial planning, adapted to the organizational needs of logistics corporate structures. It examines the integration of financial strategies with operational objectives, focusing on optimizing cash flow, controlling costs, prioritizing investments, and managing risks. The article emphasizes the importance of using digital tools and advanced financial technologies to meet dynamic market demands and mitigate uncertainties in supply chain management. The study also highlights the role of financial planning in ensuring sustainability and achieving long-term profitability in an environment of increasing pressure on logistics practices.

This article discusses the development of a linear regression model for assessing business value in the oil and gas sector of Uzbekistan. The model integrates key economic and operational variables, such as global oil and gas prices, political stability, macroeconomic indicators, sales volumes, and others, including EBITDA and debt level. The study focuses on the statistical significance of variables and their impact on market value, thus providing a basis for strategic management and planning in the industry.

This article examines the problematic aspects of organizing and conducting internal audit in non-state non-profit organizations (NGOs), the purpose and objectives of internal audit, the stages of internal audit in the activities of NGOs and identifies solutions for meeting the requirements for it. Recommendations were also given to eliminate shortcomings and errors identified during the internal audit of NGOs. As a result, the composition of the internal audit report and the methodology for its preparation were proposed to the supervisory board based on the results of the internal audit in the NGO

The article describes a number of risk types that may arise as a result of the digitalization of traditional banking activities as a result of the transformation of banking activities and the level of risk may increase, the most common types of cyber threats aimed at bank customers and banks themselves and their specific aspects, New risk management systems in banks, steps of strategic bank risk management, and author's approaches to effective risk management in the digital environment are presented. Overall, this paper provides insights into the multi-faceted nature of risk posed by commercial banks in the face of transformation and digitization, and what can be done by banks to effectively manage and mitigate this pervasive risk factor and ensure sustainable growth for banks. provides information on the various methods used.

This article examines the role of generative artificial intelligence in the digital transformation of economic sectors, with a particular focus on assessing implementation efficiency and ensuring technological security. The study argues that generative AI is becoming a strategic tool for improving productivity, operational speed, decision-making quality, and innovation capacity across manufacturing, finance, logistics, public administration, and other sectors. At the same time, the article emphasizes that the benefits of generative AI are accompanied by serious technological risks, including data leakage, model misuse, privacy violations, unreliable outputs, and cybersecurity vulnerabilities. The research is based on a qualitative comparative analysis of recent open-access academic and institutional sources, including OECD, World Bank, NIST, and sector-specific studies. The findings show that the effectiveness of generative AI should be evaluated through a dual framework that combines economic performance indicators with technological security criteria. The article concludes that sustainable implementation requires not only digital infrastructure and organizational adaptation, but also strong governance mechanisms, human oversight, and continuous risk monitoring.

The article is aimed at increasing the efficiency and strengthening the financial stability of commercial banks of Uzbekistan, analyzing the main factors influencing the return on assets (ROA) indicator. Based on data from the Central Bank, the growth of the loan portfolio and the increase in the share of loans from individuals were analyzed. The article substantiates the need for strict management of credit risks, optimization of interest margins, optimization of operating expenses through digital technologies, and strategic diversification of assets through securities as the main drivers of increasing operational efficiency.

The article is devoted to analyzing the transformation of the banking sector in the context of the active implementation of artificial intelligence (AI) technologies. It examines the key areas of AI application in banking activities, including automation of operational processes, intelligent risk management, personalization of customer services, and the development of innovative financial products. Special attention is given to how AI changes traditional banking business models, enhances banks’ competitiveness, and creates new strategic advantages in the financial market. The challenges and risks of digital transformation  including cybersecurity issues, the ethics of AI usage, and compliance with regulatory requirements  are analyzed. The study concludes that the integration of AI technologies into the banking system is becoming an essential condition for its sustainable development and global competitiveness.