AI Prospects in Financial Mathematics Editorships and Reviews
Received 30 Nov, 2024 |
Accepted 27 Dec, 2024 |
Published 31 Dec, 2024 |
As financial mathematics accelerates along dimensions today, the need to adapt artificial intelligence becomes necessary for the best of practice. This article presents AI-driven framework for transforming reviews and editorships in theory and application. The editorship models presented harness several capabilities and potentials for improving quality, editorial efficiency and innovative publishing with effectiveness guarantees that explore transformative power of AI in financial mathematics publishing.
How to Cite this paper?
APA-7 Style
Sani,
S. (2024). AI Prospects in Financial Mathematics Editorships and Reviews. Trends in Scholarly Publishing, 3(1), 14-20. https://doi.org/10.17311/tsp.2024.14.20
ACS Style
Sani,
S. AI Prospects in Financial Mathematics Editorships and Reviews. Trends Schol. Pub 2024, 3, 14-20. https://doi.org/10.17311/tsp.2024.14.20
AMA Style
Sani
S. AI Prospects in Financial Mathematics Editorships and Reviews. Trends in Scholarly Publishing. 2024; 3(1): 14-20. https://doi.org/10.17311/tsp.2024.14.20
Chicago/Turabian Style
Sani, Sulaiman.
2024. "AI Prospects in Financial Mathematics Editorships and Reviews" Trends in Scholarly Publishing 3, no. 1: 14-20. https://doi.org/10.17311/tsp.2024.14.20

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