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  2. All Volumes and Issues
  3. Volume 7, Number 2, 2025
  4. Intellectual Re-Engineering Technologies in Digital Transformation of Public Services

Intellectual Re-Engineering Technologies in Digital Transformation of Public Services

CSN.
2025;
Volume 7, Number 2
: pp. 154 - 166
https://doi.org/10.23939/csn2025.02.154
Authors:
  1. D. I. Prokopovych-Tkachenko
  2. B. S. Khrushkov
  3. M. V. Bilan
  4. O. V. Cherkasky
1
University of Customs and Finance, Department of Cybersecurity and Information Protection, Ukraine
2
State University of Trade and Economics, Department of Software Engineering and Cybersecurity, Ukraine
3
University of Customs and Finance, Department of Cybersecurity and Information Protection, Ukraine
4
National Technical University ‘Dnipro Polytechnic’, Ukraine

Digital transformation of public services in the context of modern information systems and technologies is a relevant area of research, which is due to the growing demands of society for the quality and speed of public services. In the digital economy, artificial intelligence, machine learning and big data processing technologies play an important role, which can significantly increase the efficiency of public administration. The purpose of the article is to study the possibilities and effectiveness of using intelligent technologies in reengineering business processes that accompany the digital transformation of the public administration sector. The scientific novelty of the study lies in the development of conceptual models that describe the methodology for integrating modern artificial intelligence methods into the digital environment of public services, as well as in the formation of practical recommendations for their implementation. In particular, the use of machine learning algorithms is proposed to predict the load on services, detect anomalies and optimize decision-making based on big data. The main conclusions of the study are confirmation that the integration of intelligent technologies provides a reduction in time costs, increased transparency, a decrease in the number of errors in the processes of providing public services, and also strengthens citizens' trust in state digital platforms. Special attention is paid to the issues of overcoming technical and organizational barriers that may arise during the implementation of the proposed solutions. The results obtained have practical significance for the further improvement of e- government and can be used by state authorities to optimize the processes of digital transformation of public services.

Intelligent technologies
reengineering
digital transformation
artificial intelligence
machine learning
public services
Big data
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