Revolutionizing finance with conversational AI: a focus on ChatGPT implementation and challenges
Uloženo v:
| Vydáno v: | Humanities & Social Sciences Communications vol. 12, no. 1 (Dec 2025), p. 388 |
|---|---|
| Vydáno: |
Springer Nature B.V.
|
| Témata: | |
| On-line přístup: | Citation/Abstract Full Text Full Text - PDF |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3178426955 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2662-9992 | ||
| 022 | |a 2055-1045 | ||
| 024 | 7 | |a 10.1057/s41599-025-04725-y |2 doi | |
| 035 | |a 3178426955 | ||
| 045 | 2 | |b d20251201 |b d20251231 | |
| 245 | 1 | |a Revolutionizing finance with conversational AI: a focus on ChatGPT implementation and challenges | |
| 260 | |b Springer Nature B.V. |c Dec 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This study aims to investigate the application and management strategies of ChatGPT in financial services. We explore the potential of ChatGPT in financial customer service, financial planning, risk management, portfolio analysis, insurance services, and fraud prevention, for which it is found to provide efficient automated solutions for financial institutions. To successfully implement ChatGPT applications, we emphasize the importance of managing conversational AI, including clarifying business requirements, identifying application scenarios, building appropriate data models, ensuring security and privacy, performing manual supervision, and establishing evaluation and feedback mechanisms. Besides, we also analyze the challenges and limitations of ChatGPT in financial business, such as data trustworthiness, data privacy and security issues, model bias, and regulatory and compliance issues. Under this foundation, we propose corresponding solutions. Finally, we look forward to the future development of ChatGPT in the financial domain and make corresponding practical suggestions to help financial institutions better utilize ChatGPT technology. | |
| 653 | |a Language | ||
| 653 | |a Customer services | ||
| 653 | |a Efficient markets | ||
| 653 | |a Deep learning | ||
| 653 | |a Trends | ||
| 653 | |a Fraud prevention | ||
| 653 | |a Decision making | ||
| 653 | |a Behavioral economics | ||
| 653 | |a Data encryption | ||
| 653 | |a Natural language processing | ||
| 653 | |a Automation | ||
| 653 | |a Bank technology | ||
| 653 | |a Financial services | ||
| 653 | |a Access control | ||
| 653 | |a Digital technology | ||
| 653 | |a Chatbots | ||
| 653 | |a Financial institutions | ||
| 653 | |a Bias | ||
| 653 | |a Investor behavior | ||
| 653 | |a Risk management | ||
| 653 | |a Feedback | ||
| 653 | |a Prevention programs | ||
| 653 | |a Credibility | ||
| 653 | |a Application | ||
| 653 | |a Conversation | ||
| 653 | |a Models | ||
| 653 | |a Fraud | ||
| 653 | |a Security | ||
| 653 | |a Financial planning | ||
| 653 | |a Human-computer interaction | ||
| 653 | |a Data | ||
| 653 | |a Quality of service | ||
| 653 | |a Privacy | ||
| 653 | |a Insurance | ||
| 653 | |a Implementation | ||
| 653 | |a Portfolios | ||
| 653 | |a Customer service | ||
| 773 | 0 | |t Humanities & Social Sciences Communications |g vol. 12, no. 1 (Dec 2025), p. 388 | |
| 786 | 0 | |d ProQuest |t Social Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3178426955/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3178426955/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3178426955/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |