ABSTRACT
The new millennium has seen an increase in the demand for talented manpower, which has become scarce. To acquire, manage and retain talented manpower, HR personnel have been using applications like human resource analytics (HRA). The HRA applications performed functions like descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics. However, these applications are based on basic statistical functions like correlation, regression and time series analysis. The application of artificial intelligence and machine learning (AIML) tools like the logistic regression classifier, decision tree classifier, random forest classifier and support vector machines classifier has served to increase the effectiveness, accuracy and predictive power of HRA applications. Our research work was carried out to understand the implications of applying AI to HRA for managing talent 78acquisition, talent management, and talent retention and creating an effective predictive decision-making (PDM) application. The cross-sectional research was carried out in eight cities with HR managers and HR professionals as the respondents. The major findings of this research are that AI plays a significant role in increasing the effectiveness of HRA applications. In the current study, the integrated HRA-AI application will help both academics and professionals make accurate, unbiased and powerful predictions using the integrated HRA-AI.
