Research Article

Tailored AI/ML Solutions in Financial Systems and Supply Chain Management: A Network-Based Approach to Industry-Specific Applications

Authors

  • Saideepak Kandibanda Dish Network LLC, USA

Abstract

Artificial Intelligence and Machine Learning are changing how financial systems and supply chains work. They can really change things with specific uses for each industry. This article looks at how AI is being used in different ways, from big company changes to smaller improvements. Now that low-code and no-code platforms are here, more people can create AI, even if they don't know how to code. When businesses that are linked together use AI, it makes things even better than expected. Financial groups and supply chains achieve better results when they fully integrate AI tools, supported by sound regulations and data management, rather than using AI in isolated areas. To fully benefit from AI, it's vital to change established practices through collaboration and the creation of intelligent systems. Success with AI requires thoughtful planning in tech use, company structure, and human involvement. The key is to upgrade the entire system to address both present demands and future goals, not only simply using AI tools.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (9)

Pages

295-300

Published

2025-09-03

How to Cite

Saideepak Kandibanda. (2025). Tailored AI/ML Solutions in Financial Systems and Supply Chain Management: A Network-Based Approach to Industry-Specific Applications. Journal of Computer Science and Technology Studies, 7(9), 295-300. https://doi.org/10.32996/jcsts.2025.7.9.35

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Keywords:

Artificial Intelligence, Machine Learning, Financial Systems, Supply Chain Management, Network Effects