Vol. 4 No. 2 (2024): Journal of AI-Assisted Scientific Discovery
Articles

Integrating AI with Financial Decision-Making Processes

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  • Dr. Daniel Gutiérrez
Dr. Daniel Gutiérrez
Professor of Industrial Engineering, National Technological University (UTN), Argentina
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Published 01-11-2024

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
D. D. Gutiérrez, “Integrating AI with Financial Decision-Making Processes”, Journal of AI-Assisted Scientific Discovery, vol. 4, no. 2, pp. 126–139, Nov. 2024, Accessed: Nov. 14, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/197

Abstract

An era of ongoing digital transformation infers a combination of artificial intelligence (AI), financial and organizational decision-making processes, as a result of their substantial but daunting influences on the organizations' development, direction, and stakeholder value. Artificial intelligence is a broad field that includes the development of software, algorithms, and systems for capturing human-like intelligent behavior and cognitive functions such as learning, perceptive reasoning, and managing massive complex data. AI is emerging as a central discipline that organically fits to integrate with and leverage the accomplishments in other fields, also because of its broad and diverse nature. At the intersection between the fields of AI, financial and organizational decision processes belong variously financial decision-making (FDM) systems, so-called financial applications of artificial intelligence (FAAI), which are predominantly basic activities in finance and focus on financial forecasting, budgeting and planning, credit scoring, accounting, investment, and banking operations with a wealth of public customer transactions and data.

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