Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques

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Mohammad Irfan Seifedine Kadry

Fintech Applications in Islamic Finance

AI, Machine Learning, and Blockchain Techniques

Mohammad Irfan, Seifedine Kadry, Muhammad Sharif , Habib Ullah Khan

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Hardback

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English

IGI Global
26 January 2024

Islamic life & practice; Finance; International business; Islamic law; Accounting software

In the realm of Islamic finance, a pivotal challenge looms—the escalating complexity of investment decisions, macroeconomic analyses, and credit evaluations. In response, we present a groundbreaking solution that resonates with the rapidly evolving fintech era. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques offers a compelling repository of knowledge, meticulously curated by renowned editors Mohammad Irfan, Seifedine Kadry, Muhammad Sharif, and Habib Ullah Khan. At the heart of this challenge lies a convergence of technologies—artificial intelligence (AI), machine learning (ML), and blockchain—that have revolutionized financial services. Our book unravels the symbiotic relationship between these innovations and the intricate world of Islamic finance. As institutions strive to navigate this landscape, our solution emerges as a guiding light. By delving into AI's predictive power and ML's capacity to analyze vast datasets, the book empowers financial institutions to automate processes, enhance efficiency, and make informed decisions. As the global Muslim population grows, the demand for Islamic financial services intensifies, presenting a unique growth opportunity. However, with growth comes the challenge of managing resources, regulations, and strategies. This book serves as an invaluable guide for governments, academic institutions, and industry players, offering insights into AI/ML's transformative potential within Islamic fintech. From financial monitoring to blockchain applications, this compendium addresses diverse topics, equipping researchers, academicians, industrialists, and investors with the knowledge to navigate the intricacies of modern Islamic finance. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques is a call to action, an exploration of innovation, and a guide for both academia and industry. In an era where AI, ML, and blockchain reshape finance, this book stands as a beacon of knowledge, ushering Islamic finance into a realm of unprecedented efficiency and insight. As we invite readers to embark on this transformative journey, we illuminate the path to a future where technology and tradition converge harmoniously.

Edited by: Mohammad Irfan, Seifedine Kadry, Muhammad Sharif, Habib Ullah Khan
Imprint: IGI Global
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
Weight: 272g
ISBN: 9798369310380
Pages: 334
Publication Date: 26 January 2024
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Mohammad Irfan is presently working as an Associate Professor at NSB Academy, Business School, Bangalore, India. Prior joining to NSB Academy, he was associated with the School of Business, AURO University, Surat, Gujarat for five years. He is MBA (Finance and Marketing) and M.Com (Account and Law). Dr. Irfan has done this Ph.D. from the Central University of Haryana. He has qualified UGC-SRF/NET in Management and UGC-NET in Commerce. Dr. Irfan has also qualified NSEs (NCFM) and BSEs Certification. He has experience of thirteen years in the area of Financial Management, Security Analysis and Portfolio Management, FAD, Data Analysis for Business, Financial Engineering, Financial Analytics, Fintech, Financial modeling in Excel, Green Finance, and Alternative Finance. He has to his credit various research papers published in Scopus Indexed Journals including International of Business International Journal of Business Excellence (IJBEX), Indian Journal of Finance (IJF). He is an editorial board member/reviewer in several national and international journals. Dr. Irfan presented papers in IIM-A, IIM-C, IIM-Indore, IIM-Shillong, IIT-Roorkee, Indonesia, Malaysia, Switzerland.