Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 7th International Conference on Economic Management and Green Development
Series Vol. 27 , 10 November 2023
Open
Access | Article
The Impact of Artificial Intelligence, Machine Learning, and Big Data on Finance Analysis
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Abstract
Some scholars believe our society has progressed into The Fourth Industrial Revolution as the digital revolution that is based on the confusion of the physical and digital world. The innovation of networks, Big Data, and Artificial Intelligence technology promote the digital revolution. Fin-Tech, the interdisciplinary in Finance and Technology, is being stimulated at the same time. Using the technology, many problems in the traditional financial industry can be improved, for example, the risk management with information mismatch, low upgrade speed, and high labor cost as well as the individualization services. By providing personalized, higher-quality products, and leveraging data to inform investment strategies, Fin-Tech can benefit consumers with limited credit history through credit analysis. This paper analyzes the application and impact of Artificial Intelligence, Machine learning, and Big Data in Finance. To be more specific, how to help the financial industry reduce costs and enhance productivity with improved services.
Keywords
artificial intelligence, Big Data; machine learning, financial industry, Fin-Tech
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 7th International Conference on Economic Management and Green Development
- ISBN (Print)
- 978-1-83558-075-2
- ISBN (Online)
- 978-1-83558-076-9
- Published Date
- 10 November 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/27/20231208
- Copyright
- 10 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited