Artificial Intelligence – Mathematical Decision Framework for Banking Innovation: From AI Prediction to Optimized and Responsible Banking Decisions - Couverture souple

Alam, Md Manjurul

Couverture souple

ISBN 10 : 9999350518 ISBN 13 : 9789999350518

Editeur : Eliva Press, 2026

Synopsis

Artificial Intelligence–Mathematical Decision Framework for Banking Innovation introduces AIM-DF, an interdisciplinary decision-support architecture designed to bridge the gap between artificial intelligence prediction and managerial decision-making in banking. The framework integrates organizational readiness, AI capability, a Mathematical Decision Engine (MDE), Responsible AI Governance, banking innovation, and organizational outcomes. Rather than treating AI predictions as final decisions, AIM-DF converts predictive outputs into constrained, multi-objective decision problems that account for profitability, operational efficiency, customer value, risk, capital, liquidity, regulatory requirements, and governance. A proof-of-concept empirical demonstration using banking data from Bangladesh illustrates how financial indicators can define decision states within the framework. The book emphasizes that intelligent banking requires not only predictive accuracy but also mathematical optimization, explainability, accountability, human oversight, and regulatory compliance. Combining Finance and Banking, Artificial Intelligence, and Mathematics, AIM-DF provides a foundation for developing transparent, responsible, and evidence-based intelligent financial decision systems, particularly in emerging economies.

Détails de l'édition

• Éditeur: Eliva Press
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 9999350518
• ISBN 13: 9789999350518
• Reliure: Taschenbuch
• Nombre de pages: 41
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne