Keywords: digital transformation, virtual computer lab, information technology, training of personnel, knowledge management
Integration of the processes of digital transformation of enterprises and training of specialists in the field of automation of industrial and agricultural production
UDC 004.9
DOI: 10.26102/2310-6018/2024.47.4.032
Digital transformation in industry and agriculture is aimed at driving intensive economic growth and revolutionizing project management at the state level. It involves changing management strategies and operational models through the integration of information systems. Key challenges include increasing the digital maturity of agricultural enterprises, involving stakeholders in the digital transformation process, improving access to technological information, and expanding the use of technologies like the Industrial Internet of Things and digital twins. To achieve strategic goals, it is crucial not only to enhance the digital maturity of enterprises but also to prepare qualified personnel. The integration of university and enterprise information systems, the use of virtual computer labs in education, and data-driven management are essential elements of successful digital transformation. A critical factor is the systematic use of tools such as virtual computer labs as a technological foundation for integrating production data into the educational process. However, further development of methodological and regulatory frameworks for university and enterprise information systems is needed. This will improve the quality of specialist training and actively involve universities in the processes of industrial digital transformation.
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Keywords: digital transformation, virtual computer lab, information technology, training of personnel, knowledge management
For citation: Lishilin M.V., Pryakhin V.N., Karapetyan M.A. Integration of the processes of digital transformation of enterprises and training of specialists in the field of automation of industrial and agricultural production. Modeling, Optimization and Information Technology. 2024;12(4). URL: https://moitvivt.ru/ru/journal/pdf?id=1753 DOI: 10.26102/2310-6018/2024.47.4.032 (In Russ).
Received 27.11.2024
Revised 12.12.2024
Accepted 18.12.2024