The Convergence of Artificial Intelligence, Data Analytics, and Strategic Behavioral Modeling: A Multidisciplinary Framework for Optimizing e-Business Resilience and Public Health Outcomes

Abstract

The rapid digitization of global markets and the escalating complexity of public health data have necessitated a fundamental shift in how organizations and researchers approach data-driven decision-making. This research provides a comprehensive investigation into the intersection of artificial intelligence (AI), strategic e-commerce behavior, and epidemiologic modeling. By synthesizing contemporary advancements in customer journey design with rigorous statistical frameworks for calculating incidence rates and prevalence proportions, this study develops a holistic paradigm for systemic optimization. The article explores the critical role of trust and security in the Internet of Things (IoT) ecosystem as a foundational requirement for e-business sustainability. Furthermore, it delves into the application of automated cohort analysis for optimizing Customer Acquisition Cost (CAC) payback periods, illustrating how machine learning enhances the precision of marketing communication. In a significant multidisciplinary expansion, the study correlates industrial environmental factors-specifically ambient air pollution and multiple metal plasma concentrations-with clinical outcomes such as myocardial infarction and hyperuricemia. By integrating "Open Science" discovery tools with "Learning Health Systems," the research argues that the future of operational excellence lies in the seamless exchange of data across silos. The findings suggest that AI-driven optimization not only enhances network performance and digital experience but also serves as a predictive tool for identifying health inequities and environmental risks. This article provides an extensive theoretical elaboration on the "AI Advantage," proposing that the transition from experimentation to full-scale industry transformation is the primary driver of both economic growth and social well-being in the digital age.