Call for Chapters: Navigating the Future of Finance in the Age of AI

Editors

Bilal Pandow, School of Business Bahrain Polytechnic Bahrain, India
Faheem Masoodi, Department of Computer Sciences, UNiversity of Kashmir, J&K, India
Javaid Iqbal, Department of Computer Sciences, University of Kashmir, J&K, India
Gousiya Hussain, Department of Computer Sciences, Mewar University, Rajasthan, India

Call for Chapters

Proposals Submission Deadline: April 30, 2024
Full Chapters Due: June 10, 2024

Introduction

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the financial sector marks a transformative shift in how financial professionals approach decision-making and strategy development. Historically, finance relied heavily on traditional methods, often driven by human intuition and experience. However, as technology advanced, so did the opportunities to enhance financial processes through data-driven insights. The application of AI in finance allows for a myriad of capabilities. Predictive analytics, for instance, can forecast stock prices, identify market trends, and assess credit risks with unprecedented accuracy. ML- driven portfolio management optimizes investment strategies, mitigates risks, and detects fraudulent activities. Algorithmic trading, empowered by AI, enables real-time decision-making and the execution of sophisticated trading strategies. This edited volume "Navigating the Future: Finance in the Age of AI" brings together the collective wisdom of leading experts in the fields of finance and artificial intelligence. In this collaboration, each chapter will be authored by an expert with hands-on experience, providing a diverse and comprehensive perspective on the transformative power of AI in the financial industry.

Objective

Explore the latest foundational concepts and trends in AI and ML relevant to finance. Examine the evolution of predictive analytics and time series forecasting in stock prices, market trends, and credit scoring. Delve into advanced AI strategies for portfolio management, risk management, and fraud detection in finance. Investigate the transformation of algorithmic trading strategies and explore novel approaches in finance. Analyze regulatory challenges and ethical considerations in the evolving landscape of AI-driven finance. Examine recent case studies of both successful and unsuccessful ML implementations in finance to draw lessons and insights.

Target Audience

1. Finance Professionals: 2. Data Scientists and Analysts: 3. Students and Academia: 4. Professionals Transitioning to Fintech: 5. Tech Enthusiasts Interested in Finance:

Recommended Topics

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

Submission Procedure

Researchers and practitioners are invited to submit on or before April 30, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 13, 2024 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by June 10, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Navigating the Future of Finance in the Age of AI. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2024.



Important Dates

April 30, 2024: Proposal Submission Deadline
May 13, 2024: Notification of Acceptance
June 10, 2024: Full Chapter Submission
June 23, 2024: Review Results Returned
July 21, 2024: Final Acceptance Notification
July 28, 2024: Final Chapter Submission



Inquiries

Dr. Bilal Ahmad Pandow
School of Business
Bahrain Polytechnic
Bahrain
bilal.pandow@polytechnic.bh

Dr. Faheem Syeed Masoodi
Department of Computer Sciences,
University of Kashmir, J&K
masoodifahim@uok.edu.in



Classifications


Business and Management; Computer Science and Information Technology
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