Optimization of Valuation Models for AI Investment Projects and Decision Support

Lingyun Lai

European Journal of AI, Computing & Informatics, 2025, vol. 1, issue 2, 1-6

Abstract: With the rapid development of artificial intelligence (AI) technology, investment in the field of AI has gradually become a capital hotspot. This paper explores the integration of AI project valuation and decision support systems, analyzes the core challenges of investment in AI, and proposes optimization paths, including building a flexible valuation framework, optimizing valuation methods, designing a comprehensive risk assessment system, and promoting the improvement of policies and regulations. It aims to improve the level of decision support, reduce investment risks, and promote the healthy development of the AI industry.

Keywords: artificial intelligence; investment valuation; decision support system; risk assessment; optimization model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://pinnaclepubs.com/index.php/EJACI/article/view/106/107 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dba:ejacia:v:1:y:2025:i:2:p:1-6

Access Statistics for this article

More articles in European Journal of AI, Computing & Informatics from Pinnacle Academic Press
Bibliographic data for series maintained by Joseph Clark ().