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Innovating Finance with Intelligent Solutions
Abstract
This paper explores the innovation of finance through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is transforming financial services, including banking, insurance, and investment management. The study highlights the application of AI techniques such as predictive analytics, natural language processing, and robotic process automation in enhancing risk management, fraud detection, and customer experience. Additionally, it discusses the integration of AI with financial trading systems, credit scoring models, and regulatory compliance platforms to enable algorithmic trading, credit risk assessment, and anti-money laundering efforts. The paper also addresses challenges such as data security, algorithm transparency, and regulatory oversight in the adoption of AI-driven engineering solutions in finance. It emphasizes the importance of industry collaboration, regulatory alignment, and talent development in leveraging AI's potential to drive innovation and improve financial inclusion.
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References
- Chiu, A. S. F., & Firth, M. (2019). NLP in finance: Current applications and future directions. International Review of Financial Analysis, 64, 101-110.
- Géron, A. (2019). Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems. O'Reilly Media, Inc.
- Hughes, J., & Moles, R. (2019). Robotic process automation in finance. Journal of Corporate Accounting & Finance, 30(2), 66-72.
- Merton, R. C. (2013). Principles of financial economics. Princeton University Press.
- Nigam, A., & Jain, S. (2018). AI in finance: Opportunities and challenges. Journal of Financial Data Science, 1(1), 7-21.
- Qi, Y., Rong, H., Yang, F., & Wang, H. (2018). Machine learning for financial prediction: experimentation with AI algorithms and big data. Intelligent Systems in Accounting, Finance and Management, 25(1), 1-12.
- Zhang, Y., Zhao, X., & Zhou, Y. (2019). A review on applications of machine learning algorithms in credit card fraud detection. In 2019 IEEE international conference on big data (big data) (pp. 4702-4709). IEEE.