Prompt Engineering in Business Analytics for Next-Gen Digital Banking Services
The digital banking industry is undergoing significant transformation due to rapid technological advancements. This study investigates the integration of Generative Artificial Intelligence (AI) and prompt engineering into business analytics to elevate next-generation digital banking services. Utilizing large language models, we present a detailed framework that combines generative AI techniques with refined prompt engineering to enhance decision-making, customer personalization, and risk management. Our results demonstrate that the generative AI model achieves higher accuracy, precision, and recall compared to baseline models, underscoring its potential to revolutionize business analytics in the financial sector.
Authors
- Yousef Jaradat (ORCID: https://orcid.org/0000-0003-0038-3251)
- Shadi AlZu’bi (ORCID: https://orcid.org/0000-0003-4173-2323)
- Fatima Qiyam
Institutions
- Al-Zaytoonah University of Jordan (JO)
Publication Details
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1109/fllm63129.2024.10852470
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00