Integrating Artificial Intelligence, Media Analytics and Strategic Business Intelligence for the Development of Adaptive Fintech Ecosystems in the Era of Digital Transformation

Sarika Verma, Neha Bhushan, Rajneesh Sharma, Jagdish Nathumal Utwani, Deep Mangat, Vidya Sagar S D

2025

Abstract

In the era of Intelligent Finance, customer churn prediction is one the important aspects that that digital banking and FinTech platforms need to accurately predict. A novel tri-domain adaptive intelligence framework called TRIAD Fin Net++ is proposed to assess user churn based on independent learning of behavior patterns and the dynamic sentiment in media, as well as business strategic interactions. Agent based classifiers are used for modeling each domain while their integration is carried through segment aware soft voting fusion mechanism that deploys adaptive weights according to demographic profiles. To improve upon publicly available datasets of financial data that do not include realistic media conditions and complex user behavior, a high-fidelity synthetic dataset was generated that simulates user behavior under such conditions. Experimental results demonstrate that TRIADFinNet++ achieves better performance than current models regarding accuracy (88.3%), precision (87.2%), recall (85.9%), F1 score (86.5%), while preserving transparency and scalability. Specifically, the proposed framework provides a very interpretable and extensible approach to personalized churn prediction in such a data driven, regulated financial ecosystem.

Paper Citation

in Harvard Style

Verma S., Bhushan N., Sharma R., Utwani J., Mangat D. and S D V. (2025). Integrating Artificial Intelligence, Media Analytics and Strategic Business Intelligence for the Development of Adaptive Fintech Ecosystems in the Era of Digital Transformation. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 790-799. DOI: 10.5220/0013943700004919

in Bibtex Style

@conference{icrdicct`2525,
author={Sarika Verma and Neha Bhushan and Rajneesh Sharma and Jagdish Nathumal Utwani and Deep Mangat and Vidya Sagar S D},
title={Integrating Artificial Intelligence, Media Analytics and Strategic Business Intelligence for the Development of Adaptive Fintech Ecosystems in the Era of Digital Transformation},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={790-799},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013943700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Integrating Artificial Intelligence, Media Analytics and Strategic Business Intelligence for the Development of Adaptive Fintech Ecosystems in the Era of Digital Transformation
SN - 978-989-758-777-1
AU - Verma S.
AU - Bhushan N.
AU - Sharma R.
AU - Utwani J.
AU - Mangat D.
AU - S D V.
PY - 2025
SP - 790
EP - 799
DO - 10.5220/0013943700004919
PB - SciTePress