{"title":"数字化时代的财务风险管理","authors":"T. Pogodina, D. V. Bagaev","doi":"10.36807/2411-7269-2023-2-33-42-45","DOIUrl":null,"url":null,"abstract":"The article discusses new opportunities that open up for specialists in the field of financial risk management in the era of digitalization. The authors analyze modern technologies, the inclusion of which in the financial risk management system makes it possible to increase its efficiency. The theoretical signif-icance of the study is to identify the pro-spects and benefits of using big data, cloud computing, neural networks and machine learning in identifying and predicting financial risks in the service sector. Of practical inter-est is the determination of opportunities to improve the financial stability of enterprises due to the availability of more accurate and complete information that affects financial risks.","PeriodicalId":388411,"journal":{"name":"ECONOMIC VECTOR","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FINANCIAL RISK-MANAGEMENT IN DIGITALIZATION ERA\",\"authors\":\"T. Pogodina, D. V. Bagaev\",\"doi\":\"10.36807/2411-7269-2023-2-33-42-45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article discusses new opportunities that open up for specialists in the field of financial risk management in the era of digitalization. The authors analyze modern technologies, the inclusion of which in the financial risk management system makes it possible to increase its efficiency. The theoretical signif-icance of the study is to identify the pro-spects and benefits of using big data, cloud computing, neural networks and machine learning in identifying and predicting financial risks in the service sector. Of practical inter-est is the determination of opportunities to improve the financial stability of enterprises due to the availability of more accurate and complete information that affects financial risks.\",\"PeriodicalId\":388411,\"journal\":{\"name\":\"ECONOMIC VECTOR\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ECONOMIC VECTOR\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36807/2411-7269-2023-2-33-42-45\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ECONOMIC VECTOR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36807/2411-7269-2023-2-33-42-45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The article discusses new opportunities that open up for specialists in the field of financial risk management in the era of digitalization. The authors analyze modern technologies, the inclusion of which in the financial risk management system makes it possible to increase its efficiency. The theoretical signif-icance of the study is to identify the pro-spects and benefits of using big data, cloud computing, neural networks and machine learning in identifying and predicting financial risks in the service sector. Of practical inter-est is the determination of opportunities to improve the financial stability of enterprises due to the availability of more accurate and complete information that affects financial risks.
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