Role of AI Enabled Career Development Platforms on Employee Engagement in Organisations
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Abstract
Human resource management (HRM) is one of the many industries being revolutionized by the quick development of Artificial Intelligence (AI). Personalized employee development is one of AI's most revolutionary uses in HRM. Traditional employee training and development programs frequently use a one-size-fits-all approach, which might not take into account each person's unique learning preferences, professional goals, or performance gaps. Nevertheless, these approaches frequently lacked real-time flexibility and customisation. AI integration provides a data-driven, scalable answer to these constraints, empowering HR managers to make well-informed decisions around succession planning, skill development, and employee growth. AI-driven solutions, on the other hand, provide customized learning opportunities, flexible training programs, and data-driven insights, allowing businesses to increase employee engagement and productivity. AI technologies are widely used in numerous aspects of professional development. By addressing skill gaps and providing clear promotion possibilities, AI's ability to evaluate internal career data and recommend personalized development plans has been demonstrated to increase employee engagement, satisfaction, and retention. To achieve fairness and trust, however, successful implementation requires ethical use, transparency, and alignment with human oversight. This study examines the impact of AI-centred career development platforms on employee engagement and explores the elements of AI systems that most significantly influence employee growth and productivity. The findings aim to provide insights for HR managers and organisational leaders on leveraging AI for strategic talent management and workforce engagement.
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