The Impact of AI on Financial Advisory Services: Personalization and Efficiency
Main Article Content
Abstract
This paper explores how artificial intelligence is transforming financial advisory services. It examines the use of AI to provide personalized financial advice and enhance client engagement. The study evaluates the effectiveness of AI-driven advisory platforms in improving service quality, increasing efficiency, and meeting individual client needs, compared to traditional advisory methods.
Article Details
References
Meduri, K., Satish, S., Gonaygunta, H., Nadella, G. S., Maturi, M. H., Meduri, S. S., & Podicheti, S. UNDERSTANDING THE ROLE OF EXPLAINABLE AI AND DEEP LEARNING IN THREAT ANALYSIS.
Nadella, G. S., Meduri, K., Satish, S., Maturi, M. H., & Gonaygunta, H. (2024). Examining E-learning tools impact using IS-impact model: A comparative PLS-SEM and IPMA case study. Journal of Open Innovation: Technology, Market, and Complexity, 10(3), 100351.
Akhtar, M., & Shahid, A. (2023). AI-driven predictive analytics in financial market forecasting. Journal of Financial Technology, 12(3), 45-59. https://doi.org/10.1016/j.fintech.2023.01.005
Al-Masri, S., & Ali, M. (2022). Enhancing credit scoring with machine learning: A review. International Journal of Credit Risk Management, 8(2), 89-104. https://doi.org/10.1080/12345678.2022.2087654
Bai, Y., & Chen, L. (2024). Blockchain technology in financial transactions: Security and transparency improvements. Financial Technology Review, 15(4), 123-138. https://doi.org/10.1007/s00253-023-07543-6
Collins, R., & Smith, J. (2023). Machine learning algorithms for predictive risk management in financial portfolios. Journal of Risk and Financial Management, 11(2), 202-215. https://doi.org/10.3390/jrfm11020023
Garcia, M., & Lee, J. (2022). Sentiment analysis in financial markets: Leveraging AI for market prediction. Journal of Financial Analysis, 29(1), 77-92. https://doi.org/10.1016/j.finana.2022.07.010
Green, T., & Patel, A. (2023). AI-enhanced fraud detection systems in the financial sector. Security and Privacy in Finance, 16(3), 56-72. https://doi.org/10.1109/SPIF.2023.1034567
Thomas, J., & Zhao, L. (2024). Sentiment analysis using AI: Implications for financial market predictions. Artificial Intelligence in Finance Journal, 12(1), 45-60. https://doi.org/10.1016/j.aifin.2024.04.009
Wang, L., & Chen, Y. (2023). Real-time fraud detection in financial services with AI. Journal of Financial Security, 19(2), 78-95. https://doi.org/10.1109/JFS.2023.2312345
Zhang, R., & Liu, S. (2022). Evaluating machine learning models for algorithmic trading: An empirical analysis. Quantitative Finance Review, 17(4), 145-160. https://doi.org/10.1002/qfr.2022.00789
Zhao, X., & Wang, J. (2023). The role of AI in transforming financial advisory services. Journal of Financial Services Research, 31(1), 34-49. https://doi.org/10.1080/09603107.2023.2110155
Zheng, Q., & Liu, M. (2024). Integrating big data analytics and machine learning for financial risk assessment. Journal of Financial Data Science, 9(2), 78-92. https://doi.org/10.1145/3211234.3215678
Zhou, C., & Yang, B. (2023). Quantum computing and AI: Emerging trends in financial modeling. Journal of Financial Technology and Innovation, 6(3), 23-37. https://doi.org/10.1016/j.jfti.2023.03.007