Fintech applications in Islamic finance: AI, machine learning, and blockchain techniques

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 Financ...

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Bibliographic Details
Other Authors: Irfan, Mohammad 1986- (Editor), Kadry, Seifedine 1977- (Editor), Sharif, Muhammad 1967- (Editor), Khan, Habib Ullah 1976- (Editor)
Format: Electronic eBook
Language:English
Published: Hershey PA, USA IGI Global [2024]
Series:Advances in finance, accounting, and economics (AFAE) book series
Subjects:
Links:https://doi.org/10.4018/979-8-3693-1038-0
https://doi.org/10.4018/979-8-3693-1038-0
https://doi.org/10.4018/979-8-3693-1038-0
https://doi.org/10.4018/979-8-3693-1038-0
Summary: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.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.
Physical Description:1 Online-Ressource (xviii, 334 Seiten) Illustrationen, Diagramme
ISBN:9798369310397
DOI:10.4018/979-8-3693-1038-0