Implementation of Strategic Surveillance Systems Based on Machine Learning for Human Talent Management and Organizational Knowledge

Abstract

The implementation of strategic surveillance systems based on machine learning has revolutionized the management of human talent and organizational knowledge. This article explores how these emerging technologies contribute to identifying trends, predicting needs, and optimizing human resources in dynamic environments. Through a descriptive and analytical methodology, recent case studies are examined and the impacts on productivity and organizational development are evaluated. The results show a significant improvement in decision-making and strategic alignment of organizational capabilities. Finally, the ethical implications and challenges of adoption in this context are discussed.