Cross-Domain Intelligence for Mobile and Autonomous Platforms: Leveraging Applied AI to Detect Risk and Personalize Experiences in FinTech, Retail, and Transportation Ecosystems

Authors

  • Yashovardhan Chaturvedi, Sabarna Choudhuri, Purushottam Raj

Keywords:

Cross-Domain Intelligence, Applied Artificial Intelligence, Mobile Platforms, Autonomous Systems, Risk Detection, Personalization, FinTech, Retail, Transportation Ecosystems, Transfer Learning, Real-Time Data Processing

Abstract

This study proposes a cross-domain intelligence framework that leverages applied ArtificialIntelligence (AI) to detect risk and personalize experiences across mobile and autonomousplatforms within FinTech, retail, and transportation ecosystems. By integrating heterogeneous

References

Arif, T., Jo, B., & Park, J. H. (2025). A Comprehensive Survey of Privacy-Enhancing and Trust-Centric Cloud-Native Security Techniques Against Cyber Threats. Sensors, 25(8), 2350.

Burugulla, J. K. R. (2024). Integrating AI and Big Data for Real-Time Payment Processing in Digital Banking. Journal of Artificial Intelligence and Big Data Disciplines, 1(1).

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Published

2025-07-16

How to Cite

Yashovardhan Chaturvedi, Sabarna Choudhuri, Purushottam Raj. (2025). Cross-Domain Intelligence for Mobile and Autonomous Platforms: Leveraging Applied AI to Detect Risk and Personalize Experiences in FinTech, Retail, and Transportation Ecosystems. Journal of Computational Analysis and Applications (JoCAAA), 34(7), 28–42. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3234

Issue

Vol. 34 No. 7 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.