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              <text>Makhija, Priya; Archana; Babu, S. B. G. Tilak; Sharma, Abhishek; Sharma, Ankitha; Patil, Anand</text>
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              <text>Financial Insights Unleashed: Computational Intelligence in Practice</text>
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              <text>Computational Intelligence Solutions for Real-Life Problems;pp.167-184</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781998511013-10" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781998511013-10&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105024034238?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105024034238?origin=resultslist&lt;/a&gt;</text>
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              <text>Makhija P., Faculty of Management, Center for Management Studies, Karnataka, Bangalore, India; Archana, Uttar Pradesh, Lucknow, India; Babu S.B.G.T., Department of Electronics and Communication Engineering (ECE), Aditya Engineering College, Andhra Pradesh, Surampalem, India; Sharma A., Mittal School of Business, Lovely Professional University, Punjab, Jalandhar, India; Sharma A., Mittal School of Business, Lovely Professional University, Punjab, Jalandhar, India; Patil A., School of Business and Management, Christ University, Karnataka, Bangalore, India</text>
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              <text>This study explores how artificial intelligence (AI) is changing the banking sector and identifies important uses and consequences. Fintech is evolving, from AI-powered credit risk evaluations to the real-time effects of news and social media on markets. Customary financial procedures are being transformed by the incorporation of blockchain technology, smart contracts, and collaborative models that combine human and AI. It is important to balance risk and return while implementing computational intelligence (CI), and there are several obstacles associated with this technical advance, such as ethical issues and data privacy solutions. This 168changing financial story emphasizes the importance of finding a careful balance between innovation and responsibility. Financial decision-making will hopefully become data-driven, customer-focused, and morally based in the future thanks to the cooperative synergy between humans and AI. The development of a robust and thoughtful financial landscape depends critically on ongoing monitoring, adaptability, and dedication to ethical AI practices.  2026 by Apple Academic Press, Inc.</text>
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              <text>algorithmic trading; artificial intelligence; blockchain integration; computational intelligence; credit scoring; data privacy; financial decision-making; machine learning; predictive analytics; quantum computing; smart contracts</text>
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              <text>ISBN: 978-104080568-8; 978-199851100-6;</text>
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