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              <text>Surenthran David, P.; Dheenadhayalan, K.; Pruno Suson, W.; Devapitchai, Joel Jebadurai; Manickam, Thirupathi</text>
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              <text>AI-Powered Financial Inclusion: Bridging the Gap for the Unbanked</text>
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              <text>Utilizing AI and Machine Learning in Financial Analysis;pp.449-479</text>
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              <text>Surenthran David P., St. Joseph's College of Engineering, India; Dheenadhayalan K., Sri Sai Ram Engineering College, Chennai, India; Pruno Suson W., St. Joseph's College of Engineering, India; Devapitchai J.J., St. Joseph's College of Engineering, India; Manickam T., Christ University, India</text>
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              <text>Financial inclusion is crucial for both economic growth and decreasing poverty levels, however, around 1.7 billion adults worldwide still do not have access to banking services. AI- driven financial technologies offer creative solutions to close this divide through offering easy, cost- effective, and effective financial services. This chapter delves into the present situation of financial inclusion, the main AI technologies driving changes, successful examples, obstacles, and future outlook. Through the use of artificial intelligence, we have the ability to develop a financial system that is more inclusive, giving power to individuals and promoting economic growth.  2025 by IGI Global Scientific Publishing. All rights reserved.</text>
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              <text>ISBN: 979-836938509-8; 979-836938510-4;</text>
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