Digital Transformation and Intelligent Systems: Theory, Models, Practice

Digital Transformation and Intelligent Systems: Theory, Models, Practice

Sergii Kotlyk, Yuriy Chaplinskyy, Kyrylo Malakhov, Dmitriy Shvets, Michael Stepanov, Svitlana Voinova, Oleksandr Romanyuk, Oksana Romaniuk, Yevhen Zavalniuk, Oksana Sokolova, Oleksandr Khoshaba, Natalia Brynza, Vladislav Kaverinskiy

This monograph summarizes and analyzes the current state of scientific research in the fields of information technology, mathematical modeling, automation of production processes, blockchain architectures, and artificial intelligence. It considers issues of system optimization, the use of ontologies in architectural modeling, process control, the development of new visualization methods, and the use of large language models for automatic data processing.

The monograph will be useful for both specialists and employees of companies working in the IT field, as well as teachers, masters, students, and postgraduates of higher educational institutions, as well as everyone interested in modern trends in the field of digital technology.

The monograph was prepared based on the results of the XVII International Scientific and Practical Conference “Information Technology and Automation — 2024," held in October 2024 at the Odessa National Technological University.

Artificial Intelligence (AI) and Machine Learning Integration.

Iowa State University Digital Press

2025

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