RISK MANAGEMENT USING ARTIFICIAL INTELLIGENCE METHODS

The high level of uncertainty in today’s world, combined with the rapid development of artificial intelligence technologies and big data analysis, points to the relevance and timeliness of these technologies for improving process efficiency in this aspect public and corporate governance as a risk-management. The introduction of risk management approach based on the application of modern technologies is now becoming a key condition for development and competitiveness in various sectors of the economy and public regulation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-23
DOI
https://doi.org/10.5281/zenodo.14914363
Primary Topic
Dialysis and Renal Disease Management
Type
article
Field-Weighted Citation Impact
0.00
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article

RISK MANAGEMENT USING ARTIFICIAL INTELLIGENCE METHODS

Zenodo (CERN European Organization for Nuclear Research)
Dialysis and Renal Disease Management
article

RISK MANAGEMENT USING ARTIFICIAL INTELLIGENCE METHODS

article en

Abstract

The high level of uncertainty in today’s world, combined with the rapid development of artificial intelligence technologies and big data analysis, points to the relevance and timeliness of these technologies for improving process efficiency in this aspect public and corporate governance as a risk-management. The introduction of risk management approach based on the application of modern technologies is now becoming a key condition for development and competitiveness in various sectors of the economy and public regulation.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Dialysis and Renal Disease Management
DOIOpen Access PDFOpenAlex
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RISK MANAGEMENT USING ARTIFICIAL INTELLIGENCE METHODS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS