Digital Transformation and Intelligent Systems: Theory, Models, Practice

Digital Transformation and Intelligent Systems: Theory, Models, Practice

Kotlyk, Sergii

Chaplinskyy, Yuriy

Malakhov, Kyrylo

Shvets, Dmitriy

Stepanov, Michael

Voinova, Svitlana

Romanyuk, Oleksandr

Romaniuk, Oksana

Zavalniuk, Yevhen

Sokolova,Oksana

Khoshaba, Oleksandr

Brynza, Natalia

Kaverinskiy, Vladislav

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)

Machine Learning Integration

Iowa State University Digital Press

2025

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This resource is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

English

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