AI Powered Control Systems in Fintech (eBook)

Automating Decision-Making in Digital Finance
Artikelnummer: 978-3-032-13119-5
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book explores how AI-driven control systems are transforming decision-making in fintech and digital finance. It examines the automation of financial operations, risk management, and predictive analytics, offering cutting-edge insights into the integration of AI, control theory, and financial technology. As digital finance evolves, traditional decision-making processes are rapidly becoming obsolete. AI-powered control systems now drive algorithmic trading, fraud detection, credit scoring, and regulatory compliance. This book explains the methodologies behind these advancements, covering reinforcement learning in trading, AI-driven risk assessment, and blockchain-based financial automation. Readers will gain a deep understanding of how fintech companies, banks, and financial institutions leverage AI to enhance efficiency and security. With growing market complexity, AI-driven control systems are essential for maintaining accuracy and stability in financial operations. Bridging theory and application, this book equips professionals, researchers, and business leaders with the knowledge to navigate the future of fintech. It is an essential resource for fintech innovators, AI engineers, financial analysts, and academics exploring the intersection of artificial intelligence and finance.

This book explores how AI-driven control systems are transforming decision-making in fintech and digital finance. It examines the automation of financial operations, risk management, and predictive analytics, offering cutting-edge insights into the integration of AI, control theory, and financial technology. As digital finance evolves, traditional decision-making processes are rapidly becoming obsolete. AI-powered control systems now drive algorithmic trading, fraud detection, credit scoring, and regulatory compliance. This book explains the methodologies behind these advancements, covering reinforcement learning in trading, AI-driven risk assessment, and blockchain-based financial automation. Readers will gain a deep understanding of how fintech companies, banks, and financial institutions leverage AI to enhance efficiency and security. With growing market complexity, AI-driven control systems are essential for maintaining accuracy and stability in financial operations. Bridging theory and application, this book equips professionals, researchers, and business leaders with the knowledge to navigate the future of fintech. It is an essential resource for fintech innovators, AI engineers, financial analysts, and academics exploring the intersection of artificial intelligence and finance.

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VerlagSpringer Nature Switzerland
EinbandPDF
Erscheinungsjahr2026
Seitenangabe1158 S.
AusgabekennzeichenEnglisch
AbbildungenXVI, 1158 p. 199 illus., 158 illus. in color.
Masse43'220 KB
PlattformPDF
ReiheStudies in Systems, Decision and Control; Economics and Finance; Economics and Finance
AutorAlareeni, Bahaaeddin (Hrsg.) / Hussainey, Khaled (Hrsg.) / Nassar, Ayman M. M. (Hrsg.) / Alkayid, Kholoud (Hrsg.)

Alle Bände der Reihe "Studies in Systems, Decision and Control; Economics and Finance; Economics and Finance (R0)"

Über den Autor Bahaaeddin (Hrsg.) Alareeni

Dr. Bahaaeddin Alareeni is Assistant Professor of Accounting and Auditing with extensive academic and professional expertise. His Ph.D. thesis in Accounting and Auditing focused on the comparative performance of auditors' going-concern opinions and statistical failure prediction models for listed companies in Jordan. His primary research interests span a wide array of fields, including Auditing, Accounting, International Financial Reporting Standards (IFRS), Internal Audit, Financial Accounting,and Financial Analysis. With over a decade of hands-on experience in the accounting profession, Dr. Alareeni has worked across diverse sectors, including banking, NGOs, the government sector, and private institutions. Complementing this, he has over eight years of academic experience, teaching a variety of courses across undergraduate, M.Sc., and MBA programs. Dr. Alareeni is a prolific researcher with numerous publications in highly ranked journals, including those indexed in ISI (with impact factor), Scopus, ABDC, and ABS.

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