Cross-Domain Intelligence for Mobile and Autonomous Platforms: Leveraging Applied AI to Detect Risk and Personalize Experiences in FinTech, Retail, and Transportation Ecosystems
The integration of mobile and autonomous systems with advanced artificial intelligence (AI) is ushering in a new era of operational and experiential transformation across diverse economic sectors. This study introduces a comprehensive framework for cross-domain intelligence, emphasizing the use of applied AI to facilitate real-time risk detection and the personalization of services within FinTech, retail, and transportation ecosystems. By drawing on adaptive algorithms, contextual edge data, and federated learning models, the paper delineates the mechanisms by which intelligent agents can operate across sectors without losing specificity or interpretability. Through a synthesis of empirical insights and architectural modeling, the work highlights how convergent AI infrastructure can harmonize disparate operational domains, enabling scalable and secure decision-making pipelines. This framework has critical implications for regulated environments and resource-constrained deployments, where systemic integrity and personalized utility must coexist without compromise.
