Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm
Buch, Englisch, 296 Seiten, Format (B × H): 156 mm x 234 mm
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.
Zielgruppe
Academic, Postgraduate, and Professional Reference
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Management Risikomanagement
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensfinanzen
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
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: Is Emotionless Investing Profitable? A Comparative Analysis of AI-Powered and Human-Driven AI-Focused ETFs, 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).




