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Journal of Artificial Intelligence and Digital Economy
Published by PT. Antis International Publisher
ISSN : -     EISSN : 30321077     DOI : https://doi.org/10.61796/jaide
Core Subject :
Journal of Artificial Intelligence and Digital Economy is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is an open-access, community-focused journal publishing research covering all aspects of artificial intelligence in theory and application.
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Articles 200 Documents
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INSURANCE OF COMMERCIAL BANKS' CREDIT FACILITIES AND CREDIT RISK MANAGEMENT Zokir Mamadiyarov; O‘tkirjon Tajimatov
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 9 (2024): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i9.956

Abstract

The practice of insurance of credit facilities of commercial banks is an important means of credit risk management in banking activities. Through insurance, banks can protect their loan portfolio from risks and reduce losses related to customers who face default or other debt situations. Development of diversified insurance products, automation of processes by introduction of technological solutions and use of international experiences are considered important for improvement of insurance practice. These approaches are of great importance in reducing credit risks and making banks more efficient. This is it in the article commerce of banks credit objects insurance to do practice improvement and on prudent credit risk management approaches and international experience analysis will be done
UZBEKISTAN RAILWAYS JOINT STOCK COMPANY THE ROLE OF FINANCIAL ANALYSIS IN OPTIMIZING THE EFFICIENCY OF LOGISTICS CORPORATE STRUCTURES Makhmudov Samariddin Bakhriddinovich; Mamarayimova Rushana Rashidovna
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 9 (2024): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i9.958

Abstract

Financial analysis plays a critical role in optimizing the efficiency of logistics corporate structures by providing data-driven insights into resource allocation, cost management, and profitability. This paper explores the integration of financial analysis into logistics operations, highlighting how financial performance metrics such as cash flow, profitability, and return on investment drive strategic decisions that enhance operational efficiency. By evaluating logistics costs, including transportation, warehousing, and inventory management, financial analysis enables companies to streamline processes and reduce inefficiencies. Moreover, the study examines the use of financial tools like ratio analysis, budget forecasting, and break-even analysis to assess the financial health of logistics firms. The findings emphasize the importance of financial analysis in identifying areas for investment in digital technologies, optimizing supply chain operations, and ensuring sustainable financial growth. This approach ultimately supports the overall goal of improving the economic viability and competitive edge of logistics corporate structures
ARTIFICIAL INTELLIGENCE IN AUTOMATING PROCESSES IN BUSINESSES Sobirov Khurshed
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 10 (2024): Journals Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i10.973

Abstract

Artificial Intеlligеncе (AI) is transforming thе landscapе of businеss opеrations through thе automation of procеssеs, еnhancing еfficiеncy, productivity, and accuracy. This articlе еxplorеs thе impact of AI on automating tasks across various industriеs, focusing on its advantagеs in strеamlining workflows, dеcision-making procеssеs, and rеducing opеrational costs. It also discussеs kеy challеngеs and futurе trеnds that businеssеs must addrеss to fully lеvеragе AI’s potеntial.
SCIENTIFIC THEORETICAL FOUNDATIONS OF THE COUNTRY RISK ASSESSMENT MODEL H. Hakimov
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 10 (2024): Journals Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i10.1029

Abstract

Objective: This study aims to examine the theoretical foundations and methodologies of the Country Risk Assessment Model (CRAM), focusing on its ability to evaluate country risk through a comprehensive analysis of economic, political, and social indicators. Method: CRAM employs a weighted scoring system, integrating indicators from economic, political, and social domains to construct an aggregate risk score. Data sources include the IMF, World Bank, PRS Group, Transparency International, and the UNDP. Weights for each indicator are derived through regression analysis, expert surveys, and historical correlations with adverse events. Results: The model’s composite index provides a nuanced and multi-dimensional risk assessment, offering valuable insights for investment decisions and forecasting. However, CRAM’s reliance on historical data may limit its responsiveness to rapidly changing risk factors such as political upheavals or sanctions. Novelty: This study highlights the potential for enhancing CRAM by incorporating machine learning techniques to dynamically adjust indicator weights, as well as integrating sub-national data for more precise assessments in large, diverse countries. These improvements could enhance CRAM's predictive accuracy and maintain its relevance in an evolving global risk landscape.
EFFECT OF SALINITY CONCENTRATION AND WATER TEMPERATURE ON THE RAYLEIGH WING ACCORDING TO FOUR-PHOTON POLARIZED SPECTROSCOPY DATA Jumanov Khakberdi; Khadjaev Mukhammadzoir; Ergashev Abdulla
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 10 (2024): Journals Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i10.1053

Abstract

Objective: The purpose of this study is to examine how the temperature of the water and the concentration of NaCl affect the Rayleigh wing line, with an emphasis on how supersonic lattice modulation contributes to the narrowing of the Rayleigh wing and the creation of maxima. Method: To examine the nonlinear optical characteristics of water and aqueous solutions, the study uses four-photon polarization spectroscopy under pre-threshold Brillouin scattering circumstances. The modification of nonlinear cubic susceptibility and its effect on anisotropic scattering were investigated under controlled experimental settings, such as varied salt concentrations and laser beam intensities. Result: The results show that higher water temperatures and NaCl concentrations improve adiabatic compressibility, which in turn raises the Brillouin scattering threshold and decreases the degree of nonlinear cubic susceptibility modulation. Novelty: This study provides new insights into the interplay between the anisotropy of Brillouin scattering, hypersound lattice modulation, and the structural changes in water induced by NaCl concentration and temperature variations, offering a deeper understanding of the microscopic mechanisms influencing water's scattering properties.
INNOVATIVE BANKING SERVICES IN WORLD COUNTRIES ACCORDING TO INCOME Makhmudova Mukhlisa Kodirjon kizi
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 10 (2024): Journals Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i10.1058

Abstract

Objective: This study analyzes the development trends of innovative banking services, with a focus on the implementation of digital banking across countries categorized by income level. The research aims to examine the disparity in digital banking service advancements between high-income, upper-middle-income, and lower-middle-income countries, identifying underlying causes and opportunities for improvement. Methods: The study employs methods such as induction, deduction, and synthesis, supported by official statistical data from the World Bank and International Monetary Fund. The analysis covers the period from 2014 to 2021, focusing on specific years within this timeframe, and evaluates the global economy, high-income countries (HIC), upper-middle-income countries (UMC), and lower-middle-income countries (LMC). Results: The findings indicate that high-income countries have made substantial progress in digital banking, with nations such as Sweden, Norway, and the Netherlands nearing a cashless economy. Upper-middle-income countries show significant improvement in recent years, while lower-middle-income countries face challenges due to a strong informal economy, limited scientific development, and high corruption levels. Novelty: This study highlights the correlation between economic classification and digital banking adoption. It emphasizes the untapped potential in middle-income countries, suggesting opportunities for expanding digital banking services despite structural challenges, thus providing actionable insights for stakeholders in digital banking innovation.
WAYS TO REDUCE THE ACCOUNTING COSTS OF AGROCLUSTER IN THE CONDITIONS OF GLOBAL CLIMATE CHANGE Khaydarova Shoira Nishanbayevna
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 10 (2024): Journals Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i10.1088

Abstract

Objective: This study explores the agrocluster system in Uzbekistan, emphasizing its role in enhancing agricultural productivity, economic resilience, and export potential. By integrating production, processing, and distribution, agroclusters aim to modernize agriculture, addressing regional and global challenges. Methods: A mixed-method approach was employed, combining qualitative and quantitative analyses. Key strategies included examining international agrocluster practices, assessing regional limitations such as infrastructure and land productivity, and analyzing cost structures to develop cost-minimization strategies. Results: Findings highlight the socio-economic significance of agroclusters, showcasing their ability to reduce operational inefficiencies, foster innovation, and streamline collaboration among stakeholders. Challenges like climate change and infrastructure constraints were identified, necessitating robust strategies for sustainable development. Novelty: This research emphasizes the compact integration of agrocluster participants and introduces cost-efficient measures through digital transformation, fixed-variable cost analysis, and innovative farming technologies, offering actionable insights to enhance Uzbekistan’s agrocluster efficiency.
ANALYSIS OF THE PROBLEMS IN DIGITALIZATION OF THE HOTEL SYSTEM AND THE RESEARCHES OF ECONOMISTS WHO CONDUCTED SCIENTIFIC WORK IN THIS FIELD M.M. Murtolibova
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 10 (2024): Journals Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i10.1089

Abstract

Objective: The incomplete digitization systems in Uzbekistan’s hotel industry result in operational inefficiencies, low-quality services, and guest dissatisfaction, particularly from foreign visitors. Key issues include a lack of ICT specialists, inadequate infrastructure, and insufficient digital skills among management and staff. Methods: This study analyzes expert recommendations and existing models, including Ye.I. Lizunova’s organizational mechanisms and M.F. Melekhov’s innovative strategies, to propose solutions for modernizing the industry. Grouping methods and infrastructure evaluations are emphasized to improve legal and organizational frameworks. Results: Findings reveal significant gaps in digital skills, lack of international collaborations, and outdated technologies as primary factors hindering growth. Adoption of advanced ICT training, enhanced service infrastructure, and strategic international partnerships are identified as critical to improving hotel operations and global competitiveness. Novelty: The study proposes an integrated approach combining targeted personnel training, innovative technologies, and collaborative strategies with international organizations to address the unique challenges faced by Uzbekistan’s hospitality sector. These measures can align the industry with global standards and ensure sustainable growth.
WITH PARENTS IN PROVIDING PEDAGOGICAL KNOWLEDGE THE IMPORTANCE OF COOPERATION Qosimova Ozoda Xudoynazarovna; Rashidova Shohista Rustam Qizi
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 10 (2024): Journals Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i10.1090

Abstract

Objective: This study aims to examine the role of parent-teacher cooperation in enhancing student development, focusing on how effective communication, parental involvement, and high levels of collaboration positively impact students' academic and personal growth. Methods: A qualitative approach was used, involving 200 participants, including teachers, parents, and students. Data were collected through surveys, interviews, and focus group discussions. Thematic analysis and basic statistical methods were applied to analyze the data, with ethical considerations prioritized throughout. Results: The study found that targeted communication between parents and teachers significantly improved students' academic success and personal development. Parental involvement in the educational process led to better academic performance, enhanced social skills, and a positive attitude toward school. High levels of cooperation resulted in improved academic achievement and strengthened personal and social skills in students. Novelty: This study highlights the importance of structured parent-teacher partnerships, offering insights into how effective communication and involvement can foster not only academic success but also the holistic development of students, contributing to improved education within communities.
MODERN PEDAGOGICAL TECHNIQUES: INTERACTIVE TEACHING METHODS AND THEIR ADVANTAGES Utanov Utkir Kurbonovich; Esanov Abdulatif Sherali O‘g‘li
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 10 (2024): Journals Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i10.1091

Abstract

Objective: This study aims to examine the role of parent-teacher cooperation in enhancing student development, focusing on how effective communication, parental involvement, and high levels of collaboration positively impact students' academic and personal growth. Methods: A qualitative approach was used, involving 200 participants, including teachers, parents, and students. Data were collected through surveys, interviews, and focus group discussions. Thematic analysis and basic statistical methods were applied to analyze the data, with ethical considerations prioritized throughout. Results: The study found that targeted communication between parents and teachers significantly improved students' academic success and personal development. Parental involvement in the educational process led to better academic performance, enhanced social skills, and a positive attitude toward school. High levels of cooperation resulted in improved academic achievement and strengthened personal and social skills in students. Novelty: This study highlights the importance of structured parent-teacher partnerships, offering insights into how effective communication and involvement can foster not only academic success but also the holistic development of students, contributing to improved education within communities.

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