This article describes the methodology of assessing the level of economic security of industrial enterprises in the context of trans-pharmaceuticalization of the digital economy. Also, the possibilities of using different methods by enterprises to assess economic security are analyzed. In addition, Economic Security Assessment Indicators and Economic Security Levels have been developed. In addition, the modification of the economic security levels and evaluation against normative values were evaluated through graphs to describe the criteria. A comprehensive assessment of the level of economic security and the process of managing economic security - cases of ensuring a high level of solvency of industrial enterprises, liquidity of working capital, as well as improving the quality of planning and financial and economic activities are analyzed. In the conditions of trans-pharmaceuticalization of the digital economy, conclusions and proposals were developed to improve the methodology of assessing the level of economic security of industrial enterprises.
{"title":"IMPROVING THE METHOD OF ASSESSING THE LEVEL OF ECONOMIC SECURITY OF INDUSTRIAL ENTERPRISES UNDER THE TRANSFORMATION OF THE DIGITAL ECONOMY","authors":"K. Uktamov","doi":"10.1145/3584202.3584253","DOIUrl":"https://doi.org/10.1145/3584202.3584253","url":null,"abstract":"This article describes the methodology of assessing the level of economic security of industrial enterprises in the context of trans-pharmaceuticalization of the digital economy. Also, the possibilities of using different methods by enterprises to assess economic security are analyzed. In addition, Economic Security Assessment Indicators and Economic Security Levels have been developed. In addition, the modification of the economic security levels and evaluation against normative values were evaluated through graphs to describe the criteria. A comprehensive assessment of the level of economic security and the process of managing economic security - cases of ensuring a high level of solvency of industrial enterprises, liquidity of working capital, as well as improving the quality of planning and financial and economic activities are analyzed. In the conditions of trans-pharmaceuticalization of the digital economy, conclusions and proposals were developed to improve the methodology of assessing the level of economic security of industrial enterprises.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117228409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. However, ensuring the security of IoT systems is really challenging due to the heterogeneous nature of the IoT environments. IoT has experienced unprecedented attacks that target not only businesses but also have a probability of endangering human lives. Therefore, providing a comprehensive classification of IoT attacks and the available defenses against them is of great importance. In this paper, we conduct a survey of IoT security attacks and provide a taxonomy to classify them based on different aspects. This comprehensive survey would be helpful for industry and academic researchers working to design secure IoT systems by analyzing which attacks have been investigated and which have remained unexplored.
{"title":"A Layered Taxonomy of Internet of Things Attacks","authors":"Farag Azzedin, Ibraheem Alhejri","doi":"10.1145/3584202.3584297","DOIUrl":"https://doi.org/10.1145/3584202.3584297","url":null,"abstract":"Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. However, ensuring the security of IoT systems is really challenging due to the heterogeneous nature of the IoT environments. IoT has experienced unprecedented attacks that target not only businesses but also have a probability of endangering human lives. Therefore, providing a comprehensive classification of IoT attacks and the available defenses against them is of great importance. In this paper, we conduct a survey of IoT security attacks and provide a taxonomy to classify them based on different aspects. This comprehensive survey would be helpful for industry and academic researchers working to design secure IoT systems by analyzing which attacks have been investigated and which have remained unexplored.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114222870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kuvonchbek Rakhimberdiev, Akram Ishnazarov, Piratdin Allayarov, Fayzulla Ollamberganov, R. Kamalov, M. Matyakubova
This article presents methods for detecting possible crypto-attacks on banking and other financial information systems based on blockchain technology. In particular, the mathematical basis of artificial intelligence and neural networks was considered in the detection of network attacks on financial information systems. Also, the traditional models of the system for combating network attacks, the conceptual model of ensuring the effectiveness of countermeasures against cyber-attacks, the basic principles and mathematical models of the use of artificial intelligence and neural network models are presented. Based on the given models, empirical results are obtained and analyzed, and their effectiveness is presented in scientific conclusions.
{"title":"PROSPECTS FOR THE USE OF NEURAL NETWORK MODELS IN THE PREVENTION OF POSSIBLE NETWORK ATTACKS ON MODERN BANKING INFORMATION SYSTEMS BASED ON BLOCKCHAIN TECHNOLOGY IN THE CONTEXT OF THE DIGITAL ECONOMY","authors":"Kuvonchbek Rakhimberdiev, Akram Ishnazarov, Piratdin Allayarov, Fayzulla Ollamberganov, R. Kamalov, M. Matyakubova","doi":"10.1145/3584202.3584291","DOIUrl":"https://doi.org/10.1145/3584202.3584291","url":null,"abstract":"This article presents methods for detecting possible crypto-attacks on banking and other financial information systems based on blockchain technology. In particular, the mathematical basis of artificial intelligence and neural networks was considered in the detection of network attacks on financial information systems. Also, the traditional models of the system for combating network attacks, the conceptual model of ensuring the effectiveness of countermeasures against cyber-attacks, the basic principles and mathematical models of the use of artificial intelligence and neural network models are presented. Based on the given models, empirical results are obtained and analyzed, and their effectiveness is presented in scientific conclusions.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114732387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of this paper is to analyze the impact of financial development index and unemployment rate on poverty rate in Uzbekistan in the context of digital economy. To reach this aim, data covering the period 2000-2021 years was analyzed using correlation analysis and applying Vector Autoregressive (VAR) model. It was revealed that there is a negative association between poverty and financial development as well as poverty and unemployment rate. VAR model showed that in Uzbekistan lags of poverty serve to the increase of the current level of poverty. It was found that financial development does not affect the poverty rate. To analyze the individual effects of variables on poverty, the Granger causality test was conducted, which showed that there is a uni-directional relationship between poverty and unemployment rate. It was revealed that poverty causes the decrease in unemployment rate. As regards the relationship between poverty and financial development, it had a bi-directional character.
{"title":"THE IMPACT OF FINANCIAL DEVELOPMENT AND UNEMPLOYMENT ON POVERTY RATE IN THE CONTEXT OF DIGITAL ECONOMY IN UZBEKISTAN","authors":"Aziza Usmanova","doi":"10.1145/3584202.3584306","DOIUrl":"https://doi.org/10.1145/3584202.3584306","url":null,"abstract":"The aim of this paper is to analyze the impact of financial development index and unemployment rate on poverty rate in Uzbekistan in the context of digital economy. To reach this aim, data covering the period 2000-2021 years was analyzed using correlation analysis and applying Vector Autoregressive (VAR) model. It was revealed that there is a negative association between poverty and financial development as well as poverty and unemployment rate. VAR model showed that in Uzbekistan lags of poverty serve to the increase of the current level of poverty. It was found that financial development does not affect the poverty rate. To analyze the individual effects of variables on poverty, the Granger causality test was conducted, which showed that there is a uni-directional relationship between poverty and unemployment rate. It was revealed that poverty causes the decrease in unemployment rate. As regards the relationship between poverty and financial development, it had a bi-directional character.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127168884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Modern Uzbekistan has favorable conditions for using digitization opportunities to support labor migrants. In particular, the number of mobile communication subscribers has increased by almost 3 million in the last three years. Processes related to the implementation of temporary labor activities of citizens of the Republic of Uzbekistan abroad, including vocational training and retraining and improvement of skills. Furthermore, receiving financial support measures, providing legal and social support, and foreign employers monitoring information on labor contracts promote regulation of labor migration processes abroad. Current research denotes the digitalization process's influence on labor migrant work performance. For data collection, it was asked 454 personally abroad 20 questions. As observed variables are classified into 14 binary variables, 3 categorical variables, and 3 numerical variables. In the process of econometric analysis, we used the multifactor linear regression model, SEM, and Confirmatory Factor Analysis. Results obtained in STATA 15.0 software. The adequacy of the OLS regression results was not so robust. There we tested our hypothesis in the SEM model which was quietly statistically significant in p<0.05 level. Among variables, there are four Latent unobserved variables generalized. According to the PCA, it was found that caused by 0.18-unit Digital technology (L2), 0.30-unit Income from migration (L3), and 0.092-unit Labor migrants (L3) Migration regulation (L1). According to the Pearson pairwise correlation test Digital technology (L2) and Labor migrants (L3) 18 percent relationship in p<0.05 level is statistically significant and 19 percent with significance level. According to the Cronbach-Alpha test, the reliability of the model is 31 percent and the coefficient of determination is 52 percent.
{"title":"DIGITIZATION MEASURES IN THE REGULATION OF LABOR MIGRATION PROCESSES IN UZBEKISTAN","authors":"B. Islamov, Zulaykho Kadirova, Sulkhiya Gazieva","doi":"10.1145/3584202.3584250","DOIUrl":"https://doi.org/10.1145/3584202.3584250","url":null,"abstract":"Modern Uzbekistan has favorable conditions for using digitization opportunities to support labor migrants. In particular, the number of mobile communication subscribers has increased by almost 3 million in the last three years. Processes related to the implementation of temporary labor activities of citizens of the Republic of Uzbekistan abroad, including vocational training and retraining and improvement of skills. Furthermore, receiving financial support measures, providing legal and social support, and foreign employers monitoring information on labor contracts promote regulation of labor migration processes abroad. Current research denotes the digitalization process's influence on labor migrant work performance. For data collection, it was asked 454 personally abroad 20 questions. As observed variables are classified into 14 binary variables, 3 categorical variables, and 3 numerical variables. In the process of econometric analysis, we used the multifactor linear regression model, SEM, and Confirmatory Factor Analysis. Results obtained in STATA 15.0 software. The adequacy of the OLS regression results was not so robust. There we tested our hypothesis in the SEM model which was quietly statistically significant in p<0.05 level. Among variables, there are four Latent unobserved variables generalized. According to the PCA, it was found that caused by 0.18-unit Digital technology (L2), 0.30-unit Income from migration (L3), and 0.092-unit Labor migrants (L3) Migration regulation (L1). According to the Pearson pairwise correlation test Digital technology (L2) and Labor migrants (L3) 18 percent relationship in p<0.05 level is statistically significant and 19 percent with significance level. According to the Cronbach-Alpha test, the reliability of the model is 31 percent and the coefficient of determination is 52 percent.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124106298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Burkhanov, B. Tursunov, K. Uktamov, Bunyod Usmonov
In this article, the econometric analysis of the factors affecting the economic stability of chemical industry enterprises in Uzbekistan was carried out, and the authors developed scientific and practical proposals for ensuring the economic stability of chemical industry enterprises. In the scientific works of foreign and domestic researchers, insufficient attention has been paid to the study of the practice of ensuring the economic sustainability of chemical industry enterprises. Therefore, a deeper study of the practice of ensuring the economic stability of the enterprises of the kimchi industry, which is considered one of the strategic branches of the economy, is one of the urgent issues. In this study, the development of the chemical industry was taken as the main criterion in the study of the financial and economic stability of the chemical industry enterprises operating in our country. Also, the volume of products produced in this sector was taken as an indicator of the development of the chemical industry. Therefore, in the study, an econometric model was developed to determine the factors affecting the chemical industry and express their interrelationship. Based on the conducted econometric analysis, the directions of development in our country were determined: consistent continuation of investments in the chemical industry in the country; further development of export of chemical industry products; further expansion of communication and information services in the country and digitization of the network. According to the authors, it is necessary to choose these directions in order to ensure the economic stability of chemical industry enterprises in our country.
{"title":"ECONOMETRIC ANALYSIS OF FACTORS AFFECTING ECONOMIC STABILITY OF CHEMICAL INDUSTRY ENTERPRISES IN DIGITAL ERA: IN CASE OF UZBEKISTAN","authors":"A. Burkhanov, B. Tursunov, K. Uktamov, Bunyod Usmonov","doi":"10.1145/3584202.3584274","DOIUrl":"https://doi.org/10.1145/3584202.3584274","url":null,"abstract":"In this article, the econometric analysis of the factors affecting the economic stability of chemical industry enterprises in Uzbekistan was carried out, and the authors developed scientific and practical proposals for ensuring the economic stability of chemical industry enterprises. In the scientific works of foreign and domestic researchers, insufficient attention has been paid to the study of the practice of ensuring the economic sustainability of chemical industry enterprises. Therefore, a deeper study of the practice of ensuring the economic stability of the enterprises of the kimchi industry, which is considered one of the strategic branches of the economy, is one of the urgent issues. In this study, the development of the chemical industry was taken as the main criterion in the study of the financial and economic stability of the chemical industry enterprises operating in our country. Also, the volume of products produced in this sector was taken as an indicator of the development of the chemical industry. Therefore, in the study, an econometric model was developed to determine the factors affecting the chemical industry and express their interrelationship. Based on the conducted econometric analysis, the directions of development in our country were determined: consistent continuation of investments in the chemical industry in the country; further development of export of chemical industry products; further expansion of communication and information services in the country and digitization of the network. According to the authors, it is necessary to choose these directions in order to ensure the economic stability of chemical industry enterprises in our country.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122764159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Akhmetjon Atajanovich Mamatov, G. Berdiyev, Mamajan Ahmadjonovich Mamatov
This research investigates the degree of economic security in the case of Kashkadarya region in Uzbekistan by using a comprehensive methodology based on the methodology of assessing the economic stability of the region. The study examines the level of production and sales of products, social security of the population, scientifically based criteria of demographic stability and their threshold values, the assessment of the level of economic security of the region and its districts is given simultaneously.
{"title":"THE LEVEL OF ECONOMIC SECURITY OF KASHKADARYA REGION AND THE METHODOLOGY OF ITS ASSESSMENT","authors":"Akhmetjon Atajanovich Mamatov, G. Berdiyev, Mamajan Ahmadjonovich Mamatov","doi":"10.1145/3584202.3584273","DOIUrl":"https://doi.org/10.1145/3584202.3584273","url":null,"abstract":"This research investigates the degree of economic security in the case of Kashkadarya region in Uzbekistan by using a comprehensive methodology based on the methodology of assessing the economic stability of the region. The study examines the level of production and sales of products, social security of the population, scientifically based criteria of demographic stability and their threshold values, the assessment of the level of economic security of the region and its districts is given simultaneously.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123176905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Khedr, M. Bannany, Sakeena Kanakkayil, Maqsudjon Yuldashev
Financial distress prediction (FDP) has been a subject of extensive and ongoing research because of its significance in both internal and external components of enterprises including investors and creditors. Financial institutions must to be able to foresee financial difficulty in order to allow them for evaluating the financial health of businesses and individuals. Data pre-processing techniques have been found to increase the efficacy of prediction models, and many research consider feature selection as a pre-processing step before creating the models. The creation of efficient feature selection algorithms is one of the main challenges facing FDP. In this study, we present a hybrid methodology for predicting financial distress using a Multi-Layer Perceptron and Genetic Algorithm (MLP_GA) model with boruta automated feature selection. The proposed model is designed on genetic algorithm- based tuning of the crucial MLP hyperparameters, including Network depth, Dense layer activation function, Network width, and Network optimizer for a reliable prediction. This paper investigates how boruta algorithm based feature selection method improve the accuracy of our MLP_GA algorithm. We access the FDP performance utilizing samples of enterprises based in MENA area. Resampling with k-fold evaluation metrics is employed in the experiments. The experimental results indicate that the adoption of the boruta automated feature selection method has significantly enhanced the prediction performance and accuracy of the FDP model.
{"title":"Application of boruta feature selection in enhancing financial distress prediction performance of hybrid MLP_GA","authors":"A. Khedr, M. Bannany, Sakeena Kanakkayil, Maqsudjon Yuldashev","doi":"10.1145/3584202.3584298","DOIUrl":"https://doi.org/10.1145/3584202.3584298","url":null,"abstract":"Financial distress prediction (FDP) has been a subject of extensive and ongoing research because of its significance in both internal and external components of enterprises including investors and creditors. Financial institutions must to be able to foresee financial difficulty in order to allow them for evaluating the financial health of businesses and individuals. Data pre-processing techniques have been found to increase the efficacy of prediction models, and many research consider feature selection as a pre-processing step before creating the models. The creation of efficient feature selection algorithms is one of the main challenges facing FDP. In this study, we present a hybrid methodology for predicting financial distress using a Multi-Layer Perceptron and Genetic Algorithm (MLP_GA) model with boruta automated feature selection. The proposed model is designed on genetic algorithm- based tuning of the crucial MLP hyperparameters, including Network depth, Dense layer activation function, Network width, and Network optimizer for a reliable prediction. This paper investigates how boruta algorithm based feature selection method improve the accuracy of our MLP_GA algorithm. We access the FDP performance utilizing samples of enterprises based in MENA area. Resampling with k-fold evaluation metrics is employed in the experiments. The experimental results indicate that the adoption of the boruta automated feature selection method has significantly enhanced the prediction performance and accuracy of the FDP model.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129716163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Commercial bank loans are an important source of financing for current and investment costs of companies. Therefore, ensuring a stable growth of loans from commercial banks is one of the necessary conditions for the stable development of the country's economy. The article identifies urgent problems related to ensuring a stable growth of loans issued by commercial banks of the Republic of Uzbekistan, and developed scientific proposals aimed at solving them.
{"title":"WAYS TO ENSURE SUSTAINABLE GROWTH OF COMMERCIAL BANKS' LOANS IN THE PERIOD OF DIGITALIZATION","authors":"A. Ismailov","doi":"10.1145/3584202.3584269","DOIUrl":"https://doi.org/10.1145/3584202.3584269","url":null,"abstract":"Commercial bank loans are an important source of financing for current and investment costs of companies. Therefore, ensuring a stable growth of loans from commercial banks is one of the necessary conditions for the stable development of the country's economy. The article identifies urgent problems related to ensuring a stable growth of loans issued by commercial banks of the Republic of Uzbekistan, and developed scientific proposals aimed at solving them.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115113129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Kobilov, Odiljon Rikhsimboev, M. Abdulakhatov, Sherzod Rajabov
The aim of this paper to introduce artificial intelligence as a technological innovation in the development of the economy of Uzbekistan is due to the fact that the Uzbek market of artificial intelligence is at an early stage of development and it became necessary to prevent the technological backlog of Uzbekistan from the leading economies of the world. The article concludes that artificial intelligence is a breakthrough technology with great potential. The active introduction of artificial intelligence in companies significantly increases their efficiency, and competitiveness develops industry markets, stimulates the creation of new technologies, improves product quality, and increases production volume. In general terms, artificial intelligence generates additional impulses that contribute to the development of Uzbekistan and its entry into the top five largest economies in the world.
{"title":"ARTIFICIAL INTELLIGENCE AS A TECHNOLOGICAL INNOVATION FOR ECONOMIC DEVELOPMENT OF THE REPUBLIC OF UZBEKISTAN","authors":"A. Kobilov, Odiljon Rikhsimboev, M. Abdulakhatov, Sherzod Rajabov","doi":"10.1145/3584202.3584245","DOIUrl":"https://doi.org/10.1145/3584202.3584245","url":null,"abstract":"The aim of this paper to introduce artificial intelligence as a technological innovation in the development of the economy of Uzbekistan is due to the fact that the Uzbek market of artificial intelligence is at an early stage of development and it became necessary to prevent the technological backlog of Uzbekistan from the leading economies of the world. The article concludes that artificial intelligence is a breakthrough technology with great potential. The active introduction of artificial intelligence in companies significantly increases their efficiency, and competitiveness develops industry markets, stimulates the creation of new technologies, improves product quality, and increases production volume. In general terms, artificial intelligence generates additional impulses that contribute to the development of Uzbekistan and its entry into the top five largest economies in the world.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116794798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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