Generative Ai Insights for Financial Decision Making - Couverture souple

Couverture souple

ISBN 13 : 9798337312514

Editeur : Business Science Reference, 2025

Synopsis

Generative AI emerges as a powerful tool in the financial sector, offering new insights and capabilities that transform decision-making processes. By synthesizing complex datasets, generative models can uncover patterns, simulate market scenarios, and generate forecasts with greater speed and precision than traditional methods. These models support a range of applications, enabling institutions to make more informed, data-driven decisions. As generative AI evolves, it presents both opportunities and challenges, calling for a careful balance between innovation, transparency, and regulatory compliance in financial operations. Generative AI Insights for Financial Decision Making explores the implications of blockchain and generative AI in the finance sector. It examines best practices for optimizing operations and developing innovative financial products that meet evolving consumer demands. This book covers topics such as financial security, blockchain, and payment systems, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.

A propos du livre

À propos des auteurs

Mohammad Irfan is presently working as a Professor at School of Business and Commerce, Chandigarh University, Lucknow, Unnao, India. Dr. Irfan has done his Ph.D. from the Central University of Haryana. He has MBA (Finance), M.Com (Account and Law), and MA (Economics). He has qualified UGC-JRF/SRF/NET in Management and Commerce. Dr. Irfan certified NSEs (NCFM) and BSEs certification. He has experience of more than eighteen years in the area of SAPM, Integration of AI/ML in Finance, Blockchain, Cryptocurrency, Financial Engineering, Fintech, Green Finance, and Alternative Finance. He has to his credit more than 87+ Scopus-indexed articles, including The Journal of Economic Cooperation and Development (Q2), International Journal of Business Excellence (IJBEX), International Journal of Economics and Management (IJEM), Montenegrin Journal of Economics (Q2), Cogent Business & Management (Taylor & Francis) (Q2), Indian Journal of Finance (IJF), and Journal of Islamic Monetary Economics and Finance (JIMF). His citations reached 619+ along with 13 H-index. Dr. Irfan has published 11 books in Springer, Bentham Sciences, Apple Academic Press (CRC Press, Taylor & Francis, and IGI Global Publication (Scopus indexed).

Dr. Gilney Figueira Zebende , He is currently a full professor at the State University of Feira de Santana. He has experience in Physics, with an emphasis on Condensed Matter Physics, working mainly on the following topics: dfa, long-range correlation, dcca, dcca cross-correlation coefficient, rho_dcca coefficient and quantum finance. How AI and Eduction coming togather to resolve the current generation need abd challenges. Dr. Gilney has citaions on his research work 3114+

Détails de l'édition

• Éditeur: Business Science Reference
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798337312514
• Reliure: Broché
• Nombre de pages: 522
• Éditeur: Irfan Mohammad, Dias Rui, Rastogi Ruchika, Zebende Gilney Figueira
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne