Augmented analysis in the digital marketing field becomes the next disruption in the e-commerce sector due to its enhancement capabilities within AI tools. Traditional business models were suitable to build with emerging technology, making it superimposed to the next generation via virtual platforms. This article analyzes business intelligence with machine learning where business models improve through AI augmentation in the data science field. Needless to mention, AI already has updated various business concepts that boost advanced models within new platforms where combined tools are generalized as augmentation approaches. In such cases, machine learning tools figure out the individual model. This paper represents business intelligent model transformation as unfolding AI technology that promotes innovation in digital marketing. Automation tools in machine communication can play vital roles in business analysis that also are important for making decisions as presented in this paper with difference between traditional and modern business models. General experiment with neural network model applied with augmentation features analysis. Futuristic data augmentation method is elaborated in this research article from its business perspective.