APPLICATION OF ARTIFICIAL INTELLIGENCE AND TECHNOLOGIES BIG DATA IN ESG MONITORING AND ANALYSIS
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I.R. Berdikulova
SamIES, PhD
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This article examines the potential and limitations of artificial intelligence (AI) and Big Data technologies in ESG monitoring, analysis, and rating systems for companies. Specific AI applications in the ESG field are considered, including processing non-financial reports using NLP methods, satellite monitoring of environmental indicators, news sentiment analysis for the early detection of ESG risks, and predictive corporate governance models. Traditional and AI-based approaches to ESG ratings are compared in terms of data coverage, relevance, and objectivity of assessments. The international experience of leading ESG providers and fintech startups is analyzed. Prospects for implementing AI tools for ESG analysis in the financial and analytical sector of Uzbekistan are discussed.
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1. Uzbekcosmos Agency. Program for the Development of Earth Remote Sensing in Uzbekistan for 2022–2026. Tashkent, 2022.
2. Ministry of Digital Technologies of the Republic of Uzbekistan. Strategy "Digital Uzbekistan - 2030". Tashkent, 2020.
3. Two Sigma Investments. Alternative Data for ESG Prediction. — New York: Two Sigma, 2022.
4. MSCI. Using AI and Machine Learning in ESG Research. — New York: MSCI, 2022.
5. RepRisk AG. RepRisk ESG Data Science. — Zurich: RepRisk, 2023.
6. Kayrros SAS. Methane Watch: Satellite-Based Methane Monitoring. — Paris: Kayrros, 2023
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- 2026-06-09
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This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in the IFSMRC African International Journal of Research in Management (AIJRM) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Authors retain full copyright of their work without restriction. By publishing in AIJRM, authors grant the journal the right to publish and distribute the article as the original publisher. This license permits users to read, download, copy, share, and adapt the work for lawful purposes with proper attribution to the author(s) and the journal. All reuse must appropriately acknowledge the original source of publication.
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