Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML)

Authors

  • Animesh Kumar Computer Science , Illinois Institute of Technology, Illinois, USA

Keywords:

Artificial Intelligence, Machine Learning, Retail Banking, Predictive Analytics, Fraud Detection, Customer Experience, Ethical Considerations, Regulatory Challenges

Abstract

With rapid transformation of technologies, the fusion of Artificial Intelligence (AI) and Machine Learning (ML) in finance is disrupting the entire ecosystem and operations which were followed for decades. The current landscape is where decisions are increasingly data-driven by financial institutions with an appetite for automation while mitigating risks . The segments of financial institutions which are getting heavily influenced are retail banking, wealth management, corporate banking & payment ecosystem. The solution ranges from onboarding the customers all the way fraud detection & prevention to enhancing the customer services. Financial Institutes are leap frogging with integration of Artificial Intelligence and Machine Learning in mainstream applications and enhancing operational efficiency through advanced predictive analytics, extending personalized customer experiences, and automation to minimize risk with fraud detection techniques. However, with Adoption of AI & ML, the financial institute also needs to address ethical and regulatory challenges with robust governance frameworks and responsible AI practices.

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Published

2024-08-23

How to Cite

Kumar, A. (2024). Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML). Transactions on Engineering and Computing Sciences, 12(4), 59–69. Retrieved from https://journals.scholarpublishing.org/index.php/TMLAI/article/view/17427

Issue

Section

Special Issue : 1st International Conference on Affective computing, Machine Learning and Intelligent Systems