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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.15653 |
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| _version_ | 1866915142630899712 |
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| author | Desai, Akshar Prabhu Mallya, Ganesh Satish Luqman, Mohammad Ravi, Tejasvi Kota, Nithya Yadav, Pranjul |
| author_facet | Desai, Akshar Prabhu Mallya, Ganesh Satish Luqman, Mohammad Ravi, Tejasvi Kota, Nithya Yadav, Pranjul |
| contents | Gen-AI techniques are able to improve understanding of context and nuances in language modeling, translation between languages, handle large volumes of data, provide fast, low-latency responses and can be fine-tuned for various tasks and domains. In this manuscript, we present a comprehensive overview of the applications of Gen-AI techniques in the finance domain. In particular, we present the opportunities and challenges associated with the usage of Gen-AI techniques. We also illustrate the various methodologies which can be used to train Gen-AI techniques and present the various application areas of Gen-AI technologies in the finance ecosystem. To the best of our knowledge, this work represents the most comprehensive summarization of Gen-AI techniques within the financial domain. The analysis is designed for a deep overview of areas marked for substantial advancement while simultaneously pin-point those warranting future prioritization. We also hope that this work would serve as a conduit between finance and other domains, thus fostering the cross-pollination of innovative concepts and practices. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_15653 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Opportunities and Challenges of Generative-AI in Finance Desai, Akshar Prabhu Mallya, Ganesh Satish Luqman, Mohammad Ravi, Tejasvi Kota, Nithya Yadav, Pranjul Artificial Intelligence Gen-AI techniques are able to improve understanding of context and nuances in language modeling, translation between languages, handle large volumes of data, provide fast, low-latency responses and can be fine-tuned for various tasks and domains. In this manuscript, we present a comprehensive overview of the applications of Gen-AI techniques in the finance domain. In particular, we present the opportunities and challenges associated with the usage of Gen-AI techniques. We also illustrate the various methodologies which can be used to train Gen-AI techniques and present the various application areas of Gen-AI technologies in the finance ecosystem. To the best of our knowledge, this work represents the most comprehensive summarization of Gen-AI techniques within the financial domain. The analysis is designed for a deep overview of areas marked for substantial advancement while simultaneously pin-point those warranting future prioritization. We also hope that this work would serve as a conduit between finance and other domains, thus fostering the cross-pollination of innovative concepts and practices. |
| title | Opportunities and Challenges of Generative-AI in Finance |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2410.15653 |