Foundations of Artificial Intelligence in Finance

Insights for Practitioners with Applications and Case Studies
1. Auflage 2026
ISBN: 978-1-041-01033-3
Verlag: CRC Press

Buch, Englisch, 248 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 449 g

Reihe: AI Applications and Case Studies for Business

This book discusses the financial impact of Artificial Intelligence (AI) on the finance and business sectors. By providing readers with comprehensive insights, real-world case studies, and expert discussions, it delves into various applications of AI in finance, including NLP for financial document analysis, predictive analytics, explainable AI, and blockchain integration. Covering a range of topics, from simplifying financial documents to predicting stock market trends and ensuring ethical investing, this book is crucial to effectively bridge the gap between technical AI concepts and practical applications, making it suitable for both specialists and non-specialists.  • In-depth discussions focus on the potential impact of AI on sustainable investments, exploring how these technologies may shape the future of finance.

• Emphasises the ethical implications of AI in finance, addressing the responsible use of these technologies and the importance of regulatory compliance.

• Each chapter includes practical case studies that illustrate the effective use of AI in the financial industry, providing readers with relatable insights into its applications.

• Aids non-specialists in comprehending complex AI concepts and demonstrates how AI can act as a smart assistant in solving intricate financial & business problems.

• Leverage AI for informed decision-making, risk management, and sustainable investments, making it a pivotal reference for navigating the rapidly evolving financial landscape.

The book is for professionals, data scientists, investors, policymakers, and anyone interested in understanding how AI can transform financial practices.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Jafar, Syed Hasan

K, Hemachandran

Nawaah, Donkor

Rodriguez, Raul Villamarin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Digital Lifestyle Online Banking & Finance
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Business Application Groupware
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Volkswirtschaftslehre Öffentliche Finanzwirtschaft, Besteuerung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

1. Introduction to AI in Finance: Foundational Concepts and Emerging Challenges 2. Framework for Responsible AI Adoption in Fintech 3. Exploring Explainable AI (XAI): Implications for Transparency in Financial Decision Making 4. Implementing Robotic Process Automation (RPA) for Financial Operations 5. Leveraging Natural Language Processing (NLP) in Financial Customer Service: Enhancing User Experience 6. Advanced NLP for Financial Document Analysis: Tools and Techniques 7. Predictive Analytics and AI in Credit Scoring: Transforming Lending Practices 8. AI-Driven Fraud Detection and Prevention Strategies 9. AI in Sustainable Finance and ESG Analysis: A Practical Guide 10. An African Perspective on Artificial Intelligence and Climate Finance 11. AI in Sustainable Risk Management and Compliance 12. Exploring the Influence of Gold Prices on Forex Rates, Equity Index, and Crude oil Amidst Disruptions: A Comparative Analysis of Machine Learning and Deep Learning Approach 13. Intelligent Robo-advisors and Personalized Financial Planning 14. AI in Algorithmic Trading and Investment Strategies 15. Deep Learning in Stock Forecasting and Market Predictions 16. AI Applications for Anti-Money Laundering and Compliance in Financial Institutions 17. Ethical Considerations for AI in Financial Services 18. Artificial Intelligence in Healthcare Finance: Developing Sustainable Financial Models 19. Blockchain and AI in Finance: Synergies for a Digital Economy 20. AI-Driven Socially Responsible Investing: Tools for Impact Measurement 21. Financial Management and AI: A New Dawn for Companies 22. Case Studies and Future Directions for AI in Finance

Über Autor(innen)

Dr. Syed Hasan, an Associate Dean and Area Chair of Finance, is a multifaceted professional with a strong presence in the finance industry and academia. With expertise in equity and derivative research, capital markets, technical and fundamental analysis, Hasan's insights are sought after by leading platforms such as CNBC, AajTak, BizTak, and The Economic Times: BFSI. As a media speaker, Hasan bridges the gap between complex financial concepts and the wider audience, making finance more accessible. His leadership at Woxsen University and prominence in the finance world reflect his dedication to advancing education and sharing knowledge with others.

Dr. Hemachandran K. is a distinguished professional, holding multiple prestigious positions in academia and research. He serves as the Director of the AI Research Centre and as an Associate Dean at Woxsen University. Additionally, he holds the Zita Zoltay Paprika Chair Professorship and the Course5i Chair Professorship, alongside his role as Professor and Area Chair in the Analytics Department at Woxsen University. Dr. Hemachandran is deeply involved in shaping the future of AI, evident through his role as an ATL Mentor of Change and his work on AI 2030 initiatives. Based in Hyderabad, India, his contributions to education and research are significant and far-reaching.

Dr. Donkor Nawaah is an Assistant Professor and Head of Accounting and Fintech Department at Woxsen University's School of Business, where he brings over 17 years of expertise in accounting and finance to foster next-generation business education. A dedicated educator and seasoned researcher, Dr. Donkor is committed to advancing the fields of financial reporting, corporate finance, and sustainability, with a particular focus on impactful, real-world applications. His work spans curriculum innovation, corporate governance, and ethical practices, all aimed at equipping students with the skills and insights needed to navigate today's complex financial landscapes. Through his leadership and research, Prof. Donkor actively shapes a forward-thinking academic environment, instilling in students a robust foundation in finance coupled with a commitment to ethical and sustainable practices.

Dr. Raul Villamarin Rodriguez, serving as the Vice President at Woxsen University, is a cognitive technologist and advocate for new age higher education. With expertise in cognitive and behavioral psychology, Rodriguez is at the forefront of innovative approaches to learning and development. His role involves spearheading initiatives that integrate cutting-edge technology with educational practices to enhance student outcomes. As a thought leader in the field, Rodriguez is dedicated to pushing the boundaries of traditional education and fostering cognitive growth in students. His contributions to Woxsen University underscore his commitment to shaping the future of higher education through transformative methodologies.