Virtual reality with e-learning model in business management and knowledge complex environment for gaming analysis

Abstract

Nearly real-world experiences in a variety of industries may be had with virtual reality (VR) technology. Virtual reality (VR) settings are widely used, and as a result, a large quantity of data is being collected from them. The data-driven development paradigm must be advanced and analytical procedures must be created as the amount of data increases. There are several trends and possibilities that have emerged from integration of artificial intelligence (AI) as well as machine learning (ML) in business intelligence. Modern technology has completely changed how companies gather data, draw conclusions, decide. In order to analyse complex environments, this study uses gamification and virtual reality in business intelligence modelling for e-learning. Here, virtual reality-based e-learning is modelled for business intelligence, and gamification using reinforcement alexnet Q-kernel component neural networks is used to analyse the network’s complexity. Prediction accuracy, AUC, average precision, sensitivity, quadratic normalised square error are metrics used in experimental study. The evaluation’s findings demonstrate the usefulness of our solution for classifying and forecasting pay levels in the business sector, which in turn helps business analytics in intricate AI settings.