Big Data plays a crucial role in the transformation of medical management by providing new opportunities for analyzing large volumes of data, predicting diseases, and optimizing healthcare decision-making. This article examines the fundamental principles of using Big Data in medical management, the impact of analytics on decision-making, and the challenges associated with processing medical information. The study analyzes modern approaches to integrating Big Data into medical information systems and managing healthcare resources. The prospects of using artificial intelligence and machine learning in medical analytics, as well as issues related to data security and standardization, are discussed.

This article highlights modern methods of data analysis in tourism management, particularly the role of artificial intelligence and big data technologies. The study examines the possibilities of identifying tourist needs, personalizing services, and making effective management decisions through large-scale data. The importance of intelligent technologies in fostering innovative approaches, increasing competitiveness, and enhancing efficiency in the tourism sector is also demonstrated.

This article provides a comprehensive analysis of the theoretical, methodological, and institutional aspects of implementing a mass property valuation system in the Republic of Uzbekistan. The study substantiates the limitations of traditional cadastral valuation methods in an economy based on market mechanisms and reveals the necessity of introducing a transparent and automated mass valuation system aligned with international best practices. The paper presents a comparative analysis of individual and mass valuation approaches, highlighting their role in tax base formation and functional differences. The advantages of using GIS technologies, mathematical and statistical models, large-scale data (Big Data), and multiplicative valuation models in the mass valuation process are demonstrated. In addition, ongoing reforms, the regulatory and legal framework, institutional structures, and step-by-step implementation mechanisms of the valuation system are analyzed. The research findings contribute to fair and economically justified property tax assessment, stabilization of budget revenues, and increased transparency in the real estate market.

The article analyzes the prospects for the use of innovative marketing technologies from a theoretical and practical perspective. In the context of digital transformation, enterprises are developing marketing activities with new approaches based on artificial intelligence, big data (Big Data), blockchain, AR/VR technologies and omni-channel strategies. The study comparatively studies international experiences and digital reforms in the Uzbek economy, analyzes the impact of innovative marketing technologies on efficiency, their role in increasing competitiveness, and the possibilities of building sustainable relationships with consumers. The results show that the widespread use of innovative marketing technologies is important for enterprises not only in increasing short-term sales volumes, but also in forming a long-term sustainable development strategy.

This article examines the role and mechanisms of digital transformation in enhancing the effectiveness of marketing strategy implementation in distributor companies. In a dynamic market environment, traditional marketing methods are becoming increasingly inadequate. Technologies such as CRM systems, marketing automation, Big Data analytics, omnichannel communications, and digital logistics improve market visibility, optimize trade promotions, and enable personalized relationships with retailers. Distributors with strong digital capabilities outperform digitally weak counterparts in revenue growth, campaign ROI, and customer satisfaction. Investments in digital tools, workforce development, and collaborative platforms can modernize distribution practices, boost marketing efficiency, and strengthen competitiveness in emerging markets like Uzbekistan. The adoption of digital technologies shifts marketing strategies from being reactive to proactive and data-driven.

This article examines the specific aspects of econometric modeling in the dynamic and complex conditions of the modern economy. The paper highlights contemporary trends such as the integration of big data, machine learning, and artificial intelligence, which play a crucial role in forecasting the impacts of inflation, unemployment, climate change, and pandemics. The methodology employs a systematic literature review, drawing on scientific articles from the Scopus, Web of Science, and ResearchGate databases over the last five years (2020-2025). The results indicate that ML-hybrid models enhance forecast accuracy (with reductions in RMSE and MAE), although the adverse effects of climate change and data uncertainty pose significant challenges. The conclusions and recommendations propose increasing the robustness of models in policy formulation, strengthening interdisciplinary collaboration, and implementing ethical standards, thereby contributing to sustainable development and economic recovery.

The article examined the integration of the digital economy and public debt management, as well as the formation of new financial models. Innovative areas of Public Debt Management based on Artificial Intelligence, big data, Blockchain and fintech technologies were analyzed. Scientific conclusions were developed based on international experience and macroeconomic indicators of Uzbekistan.

This article examines the issues of digitalization of the medical sphere and foreign experience. The practice of digitalization of the healthcare system of the Republic of Uzbekistan and the experience of foreign countries in this area have been studied. Also, on the basis of statistical data, trends in the development of the country's medical sphere were analyzed and proposals and recommendations were developed for the effective organization of information digitalization processes at medical enterprises.

This article analyzes current trends in the formation of the digital economy in the energy sector, particularly the capabilities of Smart Grid and Digital Twin technologies and their impact on production, distribution, consumption, and management systems. The stages and functional directions of digital transformation are examined, and advanced digital energy models of Germany, the USA, China, and Japan are comparatively analyzed. The practical experience of implementing SCADA, AMR, and ERP systems in the energy sector of Uzbekistan is studied, based on which priority areas and strategic recommendations for the digitalization of the national energy sector are developed. The research results highlight the theoretical and practical foundations for forming a digital energy ecosystem in Uzbekistan.

The tourism industry in the Russian Federation represents a significant sector, contributing to the nation’s GDP and employment while showcasing its cultural and geographical diversity. In the face of ongoing global transformations, the industry must navigate various challenges, such as economic instability, fluctuating consumer preferences, and the advent of advanced technologies. This article explores how Russian tourism enterprises can cultivate technological leadership through the adoption of artificial intelligence (AI) and big data analytics, how the industry can adapt to structural changes via digitalization, and how state policies influence the development of smart tourism. By analyzing successful case studies and illustrating the role of government initiatives, this study underscores the critical importance of innovation in steering the future of Russia’s tourism sector.

This article discusses the prospects of applying financial technologies in insurance products and their impact on new opportunities and challenges within the insurance sector. Financial technologies such as artificial intelligence, big data, blockchain, mobile applications, and digital payment systems enable the personalization, automation, and acceleration of insurance services. The article also explores the challenges companies face when implementing these technologies and the ways to overcome them

The present study investigates the transformative impact of the Fourth Industrial Revolution, encapsulated in the "Industry 4.0" framework, on the socio-economic systems of G7 countries, Russia, Kazakhstan, and Uzbekistan, drawing on contemporary scientific evidence. It explores how the integration of digital technologies—such as Big Data, the Internet of Things (IoT), and cyber-physical systems—reshapes industrial production, enhances resource efficiency, and fosters sustainable development, while simultaneously posing social and institutional challenges. The research employs a systemic analysis and comparative approach, highlighting the differential adoption of smart technologies like Smart Grid in Russia and IoT-driven agricultural advancements in Uzbekistan, alongside G7 leadership in automation. Findings reveal that while Industry 4.0 drives economic growth and environmental benefits, it also exacerbates labor market disruptions and resource demands, necessitating robust institutional reforms and a "Just Transition" framework. This comparative analysis underscores the need for tailored strategies to balance technological progress with social equity across diverse economic contexts.

With the rapid development of digital technologies, financial control has become a key area of application for innovation. financial control became the main area of application of innovations. This article explores the importance of using digital innovations such as artificial intelligence, big data analytics and blockchain to streamline and improve decision making. Process automation, improvement of analytical capabilities, as well as the impact of electronic payments and financial technologies on the efficiency of financial management are studied. The article assesses the problems associated with the introduction of digital technologies in the field of financial control, and presents proposals for conducting scientific research and the successful application of innovations in this area.

This article examines the impact of digital transformation on regional economic trends in the context of an innovative economy. Based on a systematic literature review (SLR) of studies published in recent years, it analyzes how digital technologies (such as artificial intelligence, big data, and IoT) influence economic growth, innovation potential, and regional disparities. The results indicate that digital transformation significantly stimulates regional economic growth and innovation through positive spillover effects, yet exacerbates ecological challenges and inequalities in developing regions. The conclusion emphasizes the need for integrated policies to mitigate adverse effects and ensure sustainable development. Recommendations encompass the development of digital infrastructure and investments in green innovations.