Using Data Mining Approaches to Study Youth Readiness for Industry 4.0
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Keywords

Industry 4.0
automation
digitalization
artificial intelligence
youth employment
education
professional adaptation

How to Cite

Bartashevska, Y., & Ryzhkova, H. (2026). Using Data Mining Approaches to Study Youth Readiness for Industry 4.0. International Scientific-Practical Conference: „Modern Challenges and Achievements in Information and Communication Technologies“ Transactions, 4, 142-146. https://papers.4science.ge/index.php/mcaaict/article/view/384

Abstract

One of the most pressing and most discussed issues in the modern world is the impact of Industry 4.0 on the labor market. These technological changes are not only related to automation, digitalization and artificial intelligence, they are capable of changing the foundations of the economy, namely: the methods of production and business organization, lead to significant changes in the labor market, and as a result affect the distribution of jobs and the successful career of any person.

To successfully adapt to these changes, it is necessary to invest in education and vocational training so that young people can acquire the necessary skills and adapt to new technologies. In addition, it is important to develop policies and support measures that will help workers whose professions are becoming obsolete due to automation to retrain and find new employment opportunities.

The study conducted a comparative analysis of the level of readiness of young people for employment in the conditions of Industry 4.0 using the example of two countries - Poland and Ukraine. The findings indicate that the problem of youth employment is caused not only by technological challenges, but also by the insufficient use of educational opportunities and the slow adaptation of institutions to digital changes.

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