The integration of machine learning and NLP for optimizing human resource management

In the current world that is witnessing high adoption of digital technology, the application of ML and natural language processing (NLP) in workforce management is revolutionizing the field of HRM. This paper aims to evaluate how AI in HRM practices can increase productivity, efficiency, and competitiveness through big data and automation. This paper, therefore, quantitatively assesses the interaction between the adoption of technology and the management of HR in multiple cases using an artificial neural network (ANN) model. It is established that there is a direct relationship between HRM and technology with the former showing that organizations that apply the right balance gain a lot in terms of operations. Similarly, the model validation approves the error margin of less than 1% which testifies to the reliability of the predictions. This research serves as a practical guide for organizations that are seeking to implement AI in the field of human resource management to achieve sustainable strategic management and firm growth for competitive advantage in the digital era.