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Improving the Recruitment Process in Multinational Organizations Using Robotic Process Automation and Artificial Intelligence

  • Lubica Bajzikova,
  • Tetiana Smerdova

摘要

In the ever-evolving business landscape, firms seek to improve efficiency and cut costs, often through workforce reduction and automation using technologies like Robotic Process Automation (RPA) and Artificial Intelligence (AI). This paper explores RPA and AI in-depth, discussing their significance, applications, and potential to replace human tasks. Artificial Intelligence covers a spectrum of intelligent machine behaviors, encompassing Fuzzy Logic, Neural Networks, and Robotics. It aims to create machines capable of human-like cognitive tasks, such as playing games and logical reasoning. RPA, on the other hand, automates business processes using computer programs with the capability to perform repetitive tasks typically done by human employees. The paper provides real-world examples of RPA and AI implementation in various sectors, including finance, telecommunications, and Human Resources, where automation can significantly streamline the recruitment process. Ethical and legal considerations, like GDPR compliance, are vital in these implementations. The paper concludes by emphasizing the potential for cost and time savings through automation while also suggesting using tools like Ansible and future enhancements like intelligent chatbots.