Designing Prompt Templates for Multimodal Financial Event Processing in  Cloud Ecosystems

Tina Lekshmi Kanth

Designing Prompt Templates for Multimodal Financial Event Processing in Cloud Ecosystems

Authors

Tina Lekshmi Kanth

Keywords:

Prompt Engineering, Context Engineering, Large Language Models, Financial Data Pipelines, Cloud-Native Architectures, Retrieval-Augmented Generation

Abstract

Financial systems of businesses running on cloud-native architectures produce previously unseen amountsof high-velocity multimodal information that needs highly advanced interpretation mechanisms. LargeLanguage Models are bringing revolutionary capabilities to data summarization, anomaly detection, and operational decision-making in complex distributed settings

References

Rajeshkumar Rajubhai Golani, "LLM Fine-Tuning vs Prompt Engineering for Consumer Products," International Journal on Science and Technology (IJSAT), 2025. [Online]. Available: https://www.ijsat.org/papers/2025/2/3098.pdf

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Published

2026-01-31

How to Cite

Tina Lekshmi Kanth. (2026). Designing Prompt Templates for Multimodal Financial Event Processing in Cloud Ecosystems . Journal of Computational Analysis and Applications (JoCAAA), 35(1), 721–736. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4789