Fraud Detection in Banking: AI Strategies for Financial Institutions - Kolli, Chandra Sekhar;Tatavarthi, Uma Devi;D., Venkata Naga Raju
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AI and ML are revolutionizing fraud detection in banking and financial institutions. Leveraging sophisticated algorithms, these technologies analyze vast datasets to identify patterns indicative of fraudulent activities. Machine learning models continuously learn and adapt, enhancing their accuracy over time. By automating the detection process, AI minimizes false positives and accelerates the identification of suspicious transactions. This proactive approach not only safeguards financial assets but also ensures a more efficient and secure environment for both institutions and customers, bolstering the resilience of the financial sector.…mehr

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Produktbeschreibung
AI and ML are revolutionizing fraud detection in banking and financial institutions. Leveraging sophisticated algorithms, these technologies analyze vast datasets to identify patterns indicative of fraudulent activities. Machine learning models continuously learn and adapt, enhancing their accuracy over time. By automating the detection process, AI minimizes false positives and accelerates the identification of suspicious transactions. This proactive approach not only safeguards financial assets but also ensures a more efficient and secure environment for both institutions and customers, bolstering the resilience of the financial sector.
Autorenporträt
Dr. Chandra Sekhar Kolli is currently working as an Associate Professor in the Department of Information Technology, Shri Vishnu Engineering College for Women. He has 25 Indexed Publications to his credit in various International Journals and Conferences. His major focused research areas are Predictive Analytics, Cyber Security.