Artificial Intelligence-Powered Finance: Algorithms, Analytics, and Automation for the Next Financial Revolution

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Authors

Subramanya Bharathvamsi Koneti
Governors State University, Illinois, United States
https://orcid.org/0009-0005-6705-3822

Keywords:

Artificial Intelligence, Machine Learning, Deep Learning, Fintech, Algorithmic Trading, Predictive Analytics, Finance

Synopsis

This book offers a deep and insightful examination of how Artificial Intelligence is revolutionizing the modern financial ecosystem. From the rise of algorithmic trading and autonomous investment platforms to cutting-edge fraud detection and credit risk modeling, the book illustrates the profound impact of AI on traditional and digital finance. Readers will gain a practical and technical understanding of how machine learning, natural language processing, reinforcement learning, and generative models are driving innovation in banking, insurance, wealth management, and regulatory compliance. Through real-world use cases, code examples, and architectural blueprints, the book bridges the gap between theory and execution, empowering readers to implement AI strategies in real financial environments. As finance enters a new era defined by speed, precision, and data-driven intelligence, this guide serves as an essential roadmap for professionals and students navigating the AI-powered financial revolution.

References

Lin TC. Artificial intelligence, finance, and the law. Fordham L. Rev.. 2019;88:531.

Milana C, Ashta A. Artificial intelligence techniques in finance and financial markets: a survey of the literature. Strategic Change. 2021 May;30(3):189-209.

Giudici P, Raffinetti E. SAFE Artificial Intelligence in finance. Finance Research Letters. 2023 Sep 1;56:104088.

Hilpisch Y. Artificial intelligence in finance. O'Reilly Media; 2020 Oct 14.

Li X, Sigov A, Ratkin L, Ivanov LA, Li L. Artificial intelligence applications in finance: a survey. Journal of Management Analytics. 2023 Oct 2;10(4):676-92.

Giudici P. Fintech risk management: A research challenge for artificial intelligence in finance. Frontiers in Artificial Intelligence. 2018 Nov 27;1:1.

Bahrammirzaee A. A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems. Neural Computing and Applications. 2010 Nov;19(8):1165-95.

Bahoo S, Cucculelli M, Goga X, Mondolo J. Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis. SN Business & Economics. 2024 Jan 20;4(2):23.

Ahmed S, Alshater MM, El Ammari A, Hammami H. Artificial intelligence and machine learning in finance: A bibliometric review. Research in International Business and Finance. 2022 Oct 1;61:101646.

Musleh Al-Sartawi AM, Hussainey K, Razzaque A. The role of artificial intelligence in sustainable finance. Journal of Sustainable Finance & Investment. 2022 Apr 7:1-6.

Weber P, Carl KV, Hinz O. Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature. Management Review Quarterly. 2024 Jun;74(2):867-907.

Rane N, Choudhary S, Rane J. Artificial intelligence and machine learning in business intelligence, finance, and e-commerce: a review. Finance, and E-commerce: a Review (May 27, 2024). 2024 May 27.

Golić Z. Finance and artificial intelligence: The fifth industrial revolution and its impact on the financial sector. Zbornik radova Ekonomskog fakulteta u Istočnom Sarajevu. 2019(19):67-81.

Xie M. Development of artificial intelligence and effects on financial system. InJournal of Physics: Conference Series 2019 Apr 1 (Vol. 1187, No. 3, p. 032084). IOP Publishing.

Panda SP. The Evolution and Defense Against Social Engineering and Phishing Attacks. International Journal of Science and Research (IJSR). 2025 Jan 1.

Shivadekar S, Halem M, Yeah Y, Vibhute S. Edge AI cosmos blockchain distributed network for precise ablh detection. Multimedia tools and applications. 2024 Aug;83(27):69083-109.

Mohapatra PS. Artificial Intelligence and Machine Learning for Test Engineers: Concepts in Software Quality Assurance. Intelligent Assurance: Artificial Intelligence-Powered Software Testing in the Modern Development Lifecycle. 2025 Jul 27:17.

Buckley RP, Zetzsche DA, Arner DW, Tang BW. Regulating artificial intelligence in finance: Putting the human in the loop. Sydney Law Review, The. 2021 Mar;43(1):43-81.

Yi Z, Cao X, Chen Z, Li S. Artificial intelligence in accounting and finance: Challenges and opportunities. IEEE Access. 2023 Nov 16;11:129100-23.

Tiwari R, Srivastava S, Gera R. Investigation of artificial intelligence techniques in finance and marketing. Procedia Computer Science. 2020 Jan 1;173:149-57.

Bonaparte Y. Artificial intelligence in finance: Valuations and opportunities. Finance Research Letters. 2024 Feb 1;60:104851.

Panda S. Scalable Artificial Intelligence Systems: Cloud-Native, Edge-AI, MLOps, and Governance for Real-World Deployment. Deep Science Publishing; 2025 Jul 28.

Muppala M. SQL Database Mastery: Relational Architectures, Optimization Techniques, and Cloud-Based Applications. Deep Science Publishing; 2025 Jul 27.

Königstorfer F, Thalmann S. Applications of Artificial Intelligence in commercial banks–A research agenda for behavioral finance. Journal of behavioral and experimental finance. 2020 Sep 1;27:100352.

Downloads

Full Text Book

Published

12 August 2025
Copyright (c) 2025 Subramanya Bharathvamsi Koneti

Details about the available publication format: E-Book

E-Book

ISBN-13 (15)

978-93-7185-613-3

Details about the available publication format: Book (Paperback)

Book (Paperback)

ISBN-13 (15)

978-93-7185-281-4

How to Cite

Koneti, S. B. . (2025). Artificial Intelligence-Powered Finance: Algorithms, Analytics, and Automation for the Next Financial Revolution. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-613-3
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