Bagis | AI-Driven Decision-Making in Finance | Buch | 978-1-041-10710-1 | www.sack.de

Buch, Englisch, 254 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 630 g

Reihe: Security, Audit and Leadership Series

Bagis

AI-Driven Decision-Making in Finance


1. Auflage 2026
ISBN: 978-1-041-10710-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 254 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 630 g

Reihe: Security, Audit and Leadership Series

ISBN: 978-1-041-10710-1
Verlag: Taylor & Francis Ltd


This book explores the deep impact of AI and digital transformation on finance, its practices and decision intelligence processes. The book and its practical, analytical chapters present further insights regarding ways to effectively utilize AI, potentially even beyond the existing theoretical and practical knowledge. Regulatory, ethical, security, and moral challenges and concerns associated with the use of AI in finance are thoroughly analyzed.

Readers will take away a conceptual and practical understanding of AI and digitalization as well as real-world practical case studies, so that they can be applied appropriately in a workplace setting. It aims to differentiate itself by focusing more specifically on the practical realities of AI and digital transformation in decision-making processes within finance, offering actionable guidance and real-world case study or implications, which are less emphasized in most other competitors.

The book is appropriate for experts and professionals interested in deployment of AI, digitalization and their implementation in finance. No doubt, academics, professionals, students, and finance experts will find this book an informative practice resource. The book would suit anyone interested in AI and its broader applications in finance or its uses in decision-making processes.

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Zielgruppe


Academic, Postgraduate, and Professional Reference


Autoren/Hrsg.


Weitere Infos & Material


Chapter 1 - AI and the Future of Finance: Global Finance at a Crossroads, Chapter 2 - AI in Central Banking – Synthetic vs. Real World Data in Forecasting Models, Chapter 3 - A New Innovative AI-Based Index: Anadolu University Economic Confidence Index, Chapter 4 - From Data to Decisions: AI, Data Governance and the Future of Financial Services, Chapter 5 - Artificial Intelligence in Finance: Application of Robo-Advisors for Investment Decision-Making, Chapter 6 - A Machine-Learning-based Financial Health Assessment and Credit Scoring Tool for Start-ups and SMEs, Chapter 7 - Algorithmic Morality: AI-Driven Investing Across Industries and Crises, Chapter 8 - Ethical AI in Finance: Building Fair Systems, Chapter 9 - Decision Intelligence and Risk Management in AI-Driven Investments: Building Resilient Financial Systems, Chapter 10 - Algorithmic Democracy: Ethical Dilemmas of AI in Public Tax Administration, Chapter 11 - Revolutionizing Financial Technologies through Artificial Intelligence Modelling, Chapter 12 - Smart Governance for Smart Money: AI-Enabled Monitoring of Indonesian Digital Rupiah (CBDC).


Dr. Bagis is a seasoned economist, instructor, strategist, columnist and consultant. In addition to his academic career, his extensive credentials include private sector experiences at various international and domestic companies and institutions. He has taught graduate and undergraduate level economics, math and finance courses at prominent universities including UC Berkeley and top universities in Türkiye. His analyses and papers are published by various prominent institutions. Dr. Bagis specializes in and has a deep expertise in macro and financial stability and efficacy of policies at the discretion of policymakers.



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