Opportunities and Challenges of Generative-AI in Finance


연구 분야: Artificial Intelligence



학회: 2024 IEEE International Conference on Big Data (BigData)


초록

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 domainsIn 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 ecosystemTo 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.


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Akshar Prabhu Desai

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Tejasvi Ravi

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Mohammad Luqman

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📄 논문 정보

발행 연도 2024년
인용수 4
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사이트 IEEE
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