AI Prospects in Financial Mathematics Editorships and Reviews
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Sulaiman Sani
Department of Mathematics, Faculty of Science and Engineering, University of Eswatini, Kwaluseni Campus, Kingdom of Eswatini
As financial mathematics accelerates along dimensions today, the need to adapt artificial intelligence becomes necessary for the best of practice. This article presents an 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 the 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/10.21124/tsp.2024.14.20
ACS Style
Sani, S. AI Prospects in Financial Mathematics Editorships and Reviews. Trends Schol. Pub 2024, 3 (1), 14–20. https://doi.org/10.21124/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. doi:10.21124/tsp.2024.14.20
Chicago/Turabian Style
Sani, Sulaiman. 2024. “AI Prospects in Financial Mathematics Editorships and Reviews.” Trends in Scholarly Publishing 3 (1): 14–20. https://doi.org/10.21124/tsp.2024.14.20
This work is licensed under a Creative Commons Attribution 4.0 International License.
