The financial landscape is rapidly evolving, and professionals must keep pace with the complex relationship between traditional financial practices and cutting-edge technologies. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into finance presents a transformative shift that requires a deep understanding and strategic approach.

Navigating the Future of Finance in the Age of AI offers a comprehensive exploration of AI's impact on the financial sector, from predictive analytics to algorithmic trading strategies. Each chapter is written by experts in the field, and they provide practical insights and real-world examples to make complex concepts accessible and actionable. The book also delves into regulatory challenges, ethical considerations, and case studies, equipping readers with the tools needed to harness AI's transformative power in finance. Whether you are a finance professional seeking to enhance decision-making, a data scientist aiming to apply ML techniques in finance, or an academic exploring AI's role in financial innovation, this book is an indispensable resource that offers a roadmap to navigate the complexities of AI-driven finance and seize the opportunities it presents.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

AI-Driven Innovations in Finance
Algorithmic Trading Strategies
Blockchain Integration in Finance
Case Studies
Explainability and Interpretability in AI Models
Portfolio Management in the Digital Era
Predictive Analytics and Time Series Forecasting
Quantum Computing in Financial Modeling
Regulatory Compliance and Ethical Considerations
The Foundation of AI and ML in Finance
The Future Landscape

Table of Contents

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Editor/Author Biographies

Bilal Ahmad Pandow is currently serving as an Assistant Professor of Finance at the School of Business, Bahrain Polytechnic, Manama, Bahrain. Holding a Ph.D. in Financial Studies from the School of Business Studies, University of Kashmir, India, he previously worked as a consultant at the University of Kashmir. In his earlier career, he was employed at the Middle East College, Muscat, Oman, affiliated with the University of Coventry, UK, where he imparted knowledge in Finance, Economics, and related subjects. With over 18 years of research and work experience, he has made significant contributions in the fields of education, finance, banking, media, and the developmental sector. Certified as a Micro-finance Trainer by the Asian Development Bank Institute and the World Bank Tokyo Development Learning Center, his expertise extends to various domains. His extensive body of work, spanning national and international journals, reflects his commitment to scholarly pursuits. Additionally, he actively engages in writing columns and reports for newspapers, magazines, web portals, and think tanks, both in India and internationally.

Faheem Syeed Masoodi is a senior Assistant Professor in the Department of Computer Science, University of Kashmir. Earlier, he served College of Computer Science, University of Jizan, Saudi Arabia as an Assistant Professor. Prior, the author served as a Research Scientist at NMEICT-Edrp project sponsored by the Ministry of HRD, Govt. of India. He was awarded PhD in the domain of Network Security & Cryptography by the Department of Computer Science, Aligarh Muslim University India in the year 2014. He Completed his master's and Bachelors in computer sciences from university of Kashmir. His core research interests include Cryptography & Network Security; Finance Security and Internet of things (IOT). He is a Professional member of many Cryptology Associations and has published multiple research papers in reputed journals and conferences and has edited/authored six books with reputed publishers. He has been Awarded fellowship for Summer Training “Conference effective moduli spaces and application to cryptography” organized by CENTRE HENRI LEBESGUE, Rennes, France in 2014 and was also awarded fellowship for Summer School “SP-ASCRYPTO-2011 Advance School of Cryptography” at University of Campinas, Sao Paulo, Brazil in 2011. He was also awarded Maulana Azad National Fellowship for his doctorate programme by UGC New Delhi. Dr. Masoodi is also Course Coordinator of SWAYAM MOOC course “Design and Analysis of Algorithms”.

Javaid Iqbal is presently working as Associate Professor in the Post Graduate Department of Computer Science, University of Kashmir, Hazratbal Srinagar (J & K), India. He did Masters in Computer Applications from the University of Kashmir in the year 2004 and his PhD in Computer Science from the University of Kashmir in the year 2014. He has more than ten years of substantive teaching experience at the Department of Computer Science. He has more than 35 international journal and conference papers to his credit. His research interests are software reliability growth models and software performance engineering. Besides being a member of ACM, CSI, IETE, he is a member of various software engineering societies like SIGSE and IAENG.

Gousiya Hussain is currently pursuing her PhD in the domain of Cloud Security from Department of Computer Sciences, Mewar University. Earlier she has worked as a lecturer in Jizan University, King Saud University and Iqbal Memorial institute for a total of five years. Mrs Hussain has done her Post Graduation in Computer Applications (Masters in Computer Applications) and Bachelor’s in Computer Applications (Bachelors in Computer Applications from University of Kashmir.

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