APPLICATION OF GENERATIVE AI TO AUTOMATE ANALYTICAL REPORTS: OPPORTUNITIES, RISKS, AND QUALITY CONTROL METHODS

Authors

  • Bauyrzhan Beisenbayev IT Expert, USA

Keywords:

generative artificial intelligence, automation of analytical reports, RAG, quality control, fact-checking, LLM hallucinations, prompt engineering, credibility assessment, corporate analytics, risk management

Abstract

The article discusses modern approaches to the use of generative models (LLM ) for automating the preparation of analytical reports: architectures (including retrieval-augmented Generation ), practical benefits and economic effects, key risks (hallucinations , distortions , data leakage, compliance), as well as quality control and verification methods (technical and organizational). Practical recommendations for implementing generative AI in business analytics are offered.

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Published

2025-12-27

Issue

Vol. 43 (2025)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

APPLICATION OF GENERATIVE AI TO AUTOMATE ANALYTICAL REPORTS: OPPORTUNITIES, RISKS, AND QUALITY CONTROL METHODS. (2025). American Journal of Pedagogical and Educational Research, 43, 131-139. https://americanjournal.org/index.php/ajper/article/view/3293