INFORMATION SYSTEMS AND TECHNOLOGIES IN FINANCE – A DRIVER FOR THE SUCCESSFUL DEVELOPMENT OF THE AGRICULTURAL ECONOMY

  • Svitlana Koliadenko Vinnytsia National Agrarian University
Keywords: information systems, information technologies, finance, agricultural economics, piece intelligence, machine learning

Abstract

The article talks about the importance of promoting modern information technologies and systems in the financial sector in general and in addition to the economy of the agricultural sector, including the development of nutrition in the agricultural sector formative technologies – piece intelligence (AI) and machine learning (ML). The need for the financial industry to use information systems and technologies is shown, and it is immediately apparent that the processes of financial activity due to their changes have recognized significant changes, which led to until new ideas and opportunities emerge, including in finance and the agricultural economy; It is noted that the introduction of IST in finance has led to significant changes in many direct operations, including key information systems and technologies that are used in finance. It has been determined that in the future, the main directions behind the development of information systems and technologies in the finances of the agricultural economy are piece intelligence and machine learning, and technologies are being developed for automation: ї task (AI and ML can automate a lot of tasks that are currently completed by people , for example, analysis of creditworthiness, detection of fraud and customer service); personalization (AI and ML can be used to personalize products and services for specific customers); development of new products and services: (AI and ML can be used to develop new products and services that were previously impossible); Better decision-making (AI and ML can help financial institutions make better decisions by giving them access to new data and analytics). A point has been made that information systems and technologies, combined with wired warehouses - piece intelligence and machine technology - in turn, warehouses of one of the main drivers of the development of the economy and the agricultural economy in that numbers – digitalization. Financial indicators of the introduction of piece intelligence into the Galusian economy are presented; showing the main direct development of AI in priority areas, the development of Ukraine in the near future, and also for the agricultural dominion.

References

Yin Shi, Xiaoni Li. A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms. Heliyon. 2019. vol. 5, Issue 12. DOI: 10.1016/j.heliyon.2019. e02997

Moșteanu N. R. International Financial Markets face to face with Artificial Intelligence and Digital Era. Theoretical and Applied Economics. 2019. No. XXVI (3). P. 123−134. URL: http://store.ectap.ro/articole/1408.pdf

Kou, G., Chao, X., Peng, Y., Alsaadi, F. E., & Herrera-Viedma, E. Machine learning methods for systemic risk analysis in financial sectors. Technological and Economic Development of Economy. 2019. vol. 25(5). pp. 716–742. DOI: 10.3846/tede.2019.8740

Кравець В. І., Слісаренко Т. В. Використання інформаційних технологій для підвищення ефективності управління підприємством. Науковий вісник Ужгородського національного університету. Серія: Міжнародні економічні відносини та світове господарство. 2017. Випуск 13, частина 1. С. 136–140. URL: http://www.visnyk-econom.uzhnu.uz.ua/archive/13_1_2017ua/31.pdf (дата звернення 15.06.2024)

Парубець О. М., Сугоняко Д. О., Середюк І. О. Дослідження сучасного стану та перспектив розвитку штучного інтелекту у фінансовому секторі України. Фінансові дослідження. 2019. № 1 (6). URL: https://fr.stu.cn.ua/tmppdf/183.pdf (дата звернення 20.06.2024)

Що таке штучний інтелект: історія, види та складові. URL: https://gigacloud.ua/blog/navchannja/scho-take-shtuchnij-intelekt-istorija-vidi-ta-skladovi (дата звернення 20.06.2024)

Пасічник Ю. В. Використання технологій штучного інтелекту в агропромисловому секторі економіки. URL : https://conferences.vntu.edu.ua/index.php/fiip/fiip2021/paper/viewFile/11526/9628 (дата звернення 20.06.2024)

Бочко О. Ю., Піхоцька О. М. Вплив цифровізації на фінансовий моніторинг підприємницької діяльності. Академічні візії. 2023. Випуск 23. DOI: http://dx.doi.org/10.5281/zenodo.10437681

Панченко А. Аграрний сектор – родюча галузь для штучного інтелекту. URL : https://marketer.ua/ua/the-agricultural-sector-is-a-fertile-area-for-a-i/ (дата звернення 20.06.2024)

Стратегія розвитку штучного інтелекту в Україні: монографія / А. І. Шевченко, С. В. Барановський, О. В. Білокобильський, Є. В. Бодянський, та ін. [За заг. ред. А.І. Шевченка]. Київ: ІПШІ, 2023. 305 с.

Yin Shi, Xiaoni Li. (2019) A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms. Heliyon, vol. 5, Issue 12. DOI: 10.1016/j.heliyon.2019. e02997

Moșteanu N. R. (2019) International Financial Markets face to face with Artificial Intelligence and Digital Era. Theoretical and Applied Economics, no. XXVI (3). pp. 123−134. Available at: http://store.ectap.ro/articole/1408.pdf

Kou, G., Chao, X., Peng, Y., Alsaadi, F. E., & Herrera-Viedma, E. (2019) Machine learning methods for systemic risk analysis in financial sectors. Technological and Economic Development of Economy, vol. 25(5). pp. 716–742. DOI: 10.3846/tede.2019.8740

Kravets V. I., Slisarenko T. V. (2017) Vykorystannia informatsiinykh tekhnolohii dlia pidvyshchennia efektyvnosti upravlinnia pidpryiemstvom [Use of information technologies to improve the efficiency of business management]. Naukovyi visnyk Uzhhorodskoho natsionalnoho universytetu. Seriia: Mizhnarodni ekonomichni vidnosyny ta svitove hospodarstvo, vol. 13, chastyna 1. pp. 136–140. Available at: http://www.visnyk-econom.uzhnu.uz.ua/archive/13_1_2017ua/31.pdf (accessed Chervenʹ 15, 2024)

Parubets O. M., Suhoniako D. O., Serediuk I. O. (2019) Doslidzhennia suchasnoho stanu ta perspektyv rozvytku shtuchnoho intelektu u finansovomu sektori Ukrainy [Study of the current state and prospects for the development of artificial intelligence in the financial sector of Ukraine]. Finansovi doslidzhennia. no. 1(6). Available at: https://fr.stu.cn.ua/tmppdf/183.pdf (accessed Chervenʹ 20, 2024)

Shcho take shtuchnyi intelekt: istoriia, vydy ta skladovi [What is artificial intelligence: history, types and components]. Available at: https://gigacloud.ua/blog/navchannja/scho-take-shtuchnij-intelekt-istorija-vidi-ta-skladovi (accessed Chervenʹ 20, 2024)

Pasichnyk Yu. V. Vykorystannia tekhnolohii shtuchnoho intelektu v ahropromyslovomu sektori ekonomiky [The use of artificial intelligence technologies in the agro-industrial sector of the economy] Available at: https://conferences.vntu.edu.ua/index.php/fiip/fiip2021/paper/viewFile/11526/9628 (accessed Chervenʹ 20, 2024)

Bochko O. Yu., Pikhotska O. M. (2023) Vplyv tsyfrovizatsii na finansovyi monitorynh pidpryiemnytskoi diialnosti [Impact of digitalization on financial monitoring of business activity] Akademichni vizii, vol. 23. DOI: http://dx.doi.org/10.5281/zenodo.10437681

Panchenko A. Ahrarnyi sektor – rodiucha haluz dlia shtuchnoho intelektu [The agricultural sector is a fertile field for artificial intelligence] Available at : https://marketer.ua/ua/the-agricultural-sector-is-a-fertile-area-for-a-i/ (accessed Chervenʹ 20, 2024)

Shevchenko A.I. (ed.) (2023) Stratehiia rozvytku shtuchnoho intelektu v Ukraini [Strategy for the development of artificial intelligence in Ukraine] Kyiv: IPShI, 305 p.

Article views: 32
PDF Downloads: 7
Published
2024-05-27
How to Cite
Koliadenko, S. (2024). INFORMATION SYSTEMS AND TECHNOLOGIES IN FINANCE – A DRIVER FOR THE SUCCESSFUL DEVELOPMENT OF THE AGRICULTURAL ECONOMY. Digital Есопоmу and Economic Security, (3 (12), 97-104. https://doi.org/10.32782/dees.12-18