Abstract:

This article presents two main objectives: (1) To synthesize the digital asset management process using AI TRiSM. (2) To study the results of the digital asset management process using AI TRiSM. Consequently, the administration of digital assets will bring about an increase in the organization’s overall efficiency through the implementation of technology that utilizes artificial intelligence to drive the management system. On the other hand, having a vast volume of information within an organization may result in management issues and a lack of transparency. A multitude of organizations are making preparations to put AI TRiSM ideas into practice. The analysis revealed that the mean value is 4.91, while the standard deviation is 0.14. A digital asset management platform that can be used to track usage inside an organization can be developed with the help of the AI TRiSM model. This will help establish trust, decrease risk, and guarantee workplace security.

P. Tasatanattakool, P. Wannapiroon and P. Nilsook, “Digital Asset Management Process using AI TRiSM,” 2024 IEEE International Conference on Cybernetics and Innovations (ICCI), Chonburi, Thailand, 2024, pp. 1-6, doi: 10.1109/ICCI60780.2024.10532376.
https://doi.org/10.1109/ICCI60780.2024.10532376

keywords: {Technological innovation;Standards organizations;Employment;Organizations;Asset management;Security;Artificial intelligence;Digital Asset Management;Artificial Intelligence;AI TRiSM},