Žilinská univerzita v Žiline

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    Umelá inteligencia, strojové učenie a trh práce
    (University of Zilina, 2020) Štalmachová, Katarína; Strenitzerová, Mariana
    Machine learning is becoming a key problem-solving in finance, industry or energy sectors. Human resource management is no exception; machine learning in this area allows progress to be made in streamlining functions. The aim of the article is to evaluate the possibilities of using machine learning in human resource management and the impacts of artificial intelligence on the labour market.
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    ANALÝZA TRHU PRÁCE A RIADENIE ĽUDSKÝCH ZDROJOV V IKT SEKTORE
    (Žilinská univerzita v Žiline, 2016) Strenitzerová, Mariana
    The ICT sector is one of the most dynamic sectors in the European Union. It represents a significant proportion of gross domestic product and employment in the EU. For this sector are typical high level of entry qualification (academic education) and together a high level of maintained qualification, skills and knowledge, standards and norms. It follows that at this sector it should be put high emphasis especially to the human resource management and personnel policy. Contribution was collected by analyzing the labor market in the ICT sector. The accent is mainly oriented to the using of new trends in recruiting of qualified personnel (e.g. interest of graduates in ICT sector, HR marketing), economic aspect of personal work (e. g. human resource controlling) and in applying the strategic management principles of human resource activities in ICT companies.