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Related Experiment Video

Updated: Sep 11, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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Data asset valuation model based on generative artificial intelligence.

Yungang Tang1, Yaoqian Liu2, Daxin Liu3

  • 1School of Economics and Management, Quanzhou University of Information Engineering, Quanzhou, Fujian, China.

Plos One
|August 18, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a Generative Artificial Intelligence (AI) model for dynamic data asset valuation, enhancing accuracy and stability for businesses in the digital economy. It offers new methods for data asset management and digital transformation.

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Area of Science:

  • Computer Science
  • Economics
  • Business Management

Background:

  • The digital economy necessitates robust data asset valuation methods.
  • Generative Artificial Intelligence (AI) presents new opportunities for economic modeling.
  • Traditional valuation methods struggle in dynamic, data-driven markets.

Purpose of the Study:

  • To develop and validate a Generative AI-based model for dynamic data asset valuation.
  • To improve the assessment of commercial value for data assets.
  • To address limitations of existing valuation techniques in evolving markets.

Main Methods:

  • Constructed a data asset valuation model integrating Generative AI.
  • Incorporated data feature extraction, value generation algorithms, and market adaptability.
  • Empirically analyzed data from Chinese A-share listed companies (2015-2023).

Main Results:

  • The integrated Generative AI model demonstrated superior accuracy and stability compared to individual models.
  • The model proved effective, particularly in data-intensive sectors like IT and financial services.
  • Empirical validation confirmed the model's practical applicability and validity.

Conclusions:

  • The proposed Generative AI valuation model offers a significant advancement for managing data assets.
  • This research provides novel methodologies for enterprises undergoing digital transformation.
  • The findings support the sustainable development of the data economy through enhanced data asset management.