Big Data and business analytics are revolutionizing contemporary industries through AI and smarter decision-making. AI assists highly advanced diagnostics, predictive analytics, and precision medicine. It is a specific treatment personalized to produce improved patient outcomes. AI systems in supply chain management support resiliency planning by modeling disruptions, optimizing inventory and operational performance, and in energy. The research was conducted as a quantitative research design to measure the effectiveness of AI-based Big Data and Business Analytics in three sectors, namely, healthcare, supply chain, and the energy industry. A sample size of 300 respondents was used, comprising 100 healthcare personnel, 100 supply chain directors, and 100 energy specialists. The analysis in SPSS involved the use of descriptive statistics to calculate the mean and standard deviation of the data. The reliability of the analysis in terms of Cronbach's alpha to ascertain the consistency of the data. The correlation analysis to establish the relationship between the application of AI and the advancement of the sector. The other factor that the regression analysis will identify is the predictive relationship between the adoption of AI and the efficiency and competitiveness of the economy. These results show that AI-driven big data and commercial analytics are by far facilitating improvements in performance in the fields of health care, supply chains, and energy.
Rahman et al. (Tue,) studied this question.