IMPLEMENTATION OF AI SYSTEMS FOR ANALYSIS OF PRODUCTIVITY AND DEVELOPMENT OF TALENT IN GLOBAL TEAMS

Abstract

In modern world, technological progress is changing not only the way individuals work, but also the goals of companies operating on a global scale. The globalization of the workforce and the rise of telecommuting have led to the need for effective performance management and talent development in multinational teams. Artificial intelligence (AI) is emerging as one of the most promising tools for solving these challenges, enabling process automation, big data analytics, personalization of learning and forecasting of talent needs. However, the implementation of AI is accompanied by numerous challenges, such as ethical issues, biases in algorithms, data privacy, and compliance with regulatory requirements in different countries. In addition, the use of AI requires significant investment in technical infrastructure and training of personnel, which can be a significant barrier for many organizations. It is also important to consider the potential impact of AI on corporate culture and employee interaction, as too much automation can lead to the loss of the human factor in work processes. The article examines the technological aspects of AI implementation, describes the main challenges and limitations, and offers strategies to overcome them. The research findings show that while AI has great potential to transform human resource management, its implementation requires a careful approach that includes consideration of ethical aspects and ensuring compliance with legal regulations. The study also highlights the importance of a balanced approach that combines the benefits of AI with traditional HR practices while ensuring that uniquely human qualities such as empathy, creativity and critical thinking are preserved.