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Exploring Use Cases of Generative AI and Metaverse in Financial Analytics: Unveiling the Synergies of Advanced Technologies

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Abstract

Generative AI (GAI) refers to a branch of artificial intelligence (AI) that can enable machines to generate original content by learning patterns from existing data. The metaverse conjoins augmented, virtual and physical reality, enabling immersive interactions and vast possibilities within various ecosystems. Financial analytics encompasses many activities, including risk evaluation, financial modeling, performance evaluation, portfolio optimisation, decision support, etc. The intersection of these three phenomena can open up a slew of possibilities that hold the key to enriched data-driven experiences. This is an exploratory analysis, that uses qualitative research to unravel the potential of GAI and metaverse in financial analytics. The findings indicate that there is potential to revolutionize various aspects of financial analytics, including fraud detection, risk management, predictive analytics, and behavioral analysis. This is a pioneering effort to study the undercurrents of three very powerful technologies and the possible use cases within the finance industry. The insights from the study are used to evolve high-impact future research topics that can help companies to build a competitive edge. The intertwining of these technologies paves the way for a new era in the financial ecosystem where data-driven insights and immersive capabilities interact; this will unlock unparalleled opportunities for financial modernization and transformation for competitiveness.

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Fig. 1

Source: Adapted from Loh and Ong (1998)

Fig. 2

Source: Adapted from Deloitte (2020); (Bhoi, 2021)

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Fig. 4

Source: Adapted from Grafilon and Dumlao, (2017)

Fig. 5

Source: Adapted from Caesar (2022)

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Acknowledgements

We would like to express our sincere gratitude to the anonymous reviewers and editors who dedicated their time and expertise in providing valuable feedback and suggestions to enhance the quality of this paper. Their contributions have been instrumental in shaping and refining the research, and we are truly grateful for their efforts.

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No funding was received for this study.

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Rangapriya Saivasan RS, Madhavi Lokhande ML, The individual contributions of the authors are as follows: conceptualization of topic: RS & ML; research methodology: RS; formal analysis and interpretations: RS; supervision: ML; writing—original draft and revisions: RS; editing: ML; resources: ML

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Correspondence to Rangapriya Saivasan.

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Saivasan, R., Lokhande, M. Exploring Use Cases of Generative AI and Metaverse in Financial Analytics: Unveiling the Synergies of Advanced Technologies. JGBC 18 (Suppl 1), 77–86 (2023). https://doi.org/10.1007/s42943-023-00082-2

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  • DOI: https://doi.org/10.1007/s42943-023-00082-2

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