Registration Number
0226U003895,
(0124U000880)
, R & D reports
Title
Artificial intelligence tools in the financial sector: innovative technologies, data analysis, strategic development scenarios
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Інструментарій штучного інтелекту у фінансовій сфері: інноваційні технології, аналіз даних, сценарії стратегічного розвитку
Head
Oleksandra V. Mandych, Доктор економічних наук
Registration Date
02-06-2026
Organization
State Biotechnological University
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Theoretical, methodological and applied research of the impact of artificial intelligence tools and digital technologies on traditional financial systems, as well as determining the prospects for integration models of artificial intelligence involvement in the procedures and algorithms of digital adaptation and transformation of business entities to optimise financial processes
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The aim of this study is to develop theoretical and methodological foundations and to create a set of practical tools for using artificial intelligence to analyze financial data, assess risks, and develop strategic development scenarios for business entities.
The object of this study is the processes of digital transformation in financial management within the context of modern business development.
The subject of this study is the theoretical, methodological, and practical aspects of using artificial intelligence tools in the financial sector to support managerial decision-making, forecast financial indicators, and manage risks.
The study substantiates the role of artificial intelligence as a key element of the digital transformation of financial management, systematizes current approaches to the use of AI technologies in financial analysis and risk management, and examines trends in the development of the fintech sector and avenues for integrating digital technologies into financial processes.
Applied models have been developed for assessing interest rate risk, forecasting liquidity, and supporting credit decisions using Historical Simulation, GARCH, XGBoost, LSTM, and ensemble machine learning algorithms.
The scientific novelty of the results obtained lies in the refinement of methodological approaches to assessing financial risks based on a combination of classical financial models and artificial intelligence technologies; the development of theoretical principles regarding the integration of AI solutions into the financial management system; and the formation of an adaptive approach to developing financial strategies based on forecasting liquidity and risks in an unstable economic environment.
Product Description
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Arkadii V. Mykytas
Vatamanitsa Dmytro B.
Oleksandr V. Horokh
Olena V. Zhyliakova
Halyna H. Lysak
Vitalii V. Makohon
Halyna O. Nahaieva
Kseniia V. Vatamanitsa
Iryna A. Hlushchenko
Kateryna S. Bershadska
Tetiana O. Staverska
Serhii V. Pianov
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2026-06-02
