THE USE OF MYGPT FOR CREATING AGGREGATED REPORTS IN SPECIFIC REPORT TEMPLATES USING DATA FROM PERSONALISED INTERVIEWS
THE USE OF MYGPT FOR CREATING AGGREGATED REPORTS IN SPECIFIC REPORT TEMPLATES USING DATA FROM PERSONALISED INTERVIEWS

Author(s): Julian A. Vasilev
Subject(s): Economy, Business Economy / Management, ICT Information and Communications Technologies
Published by: Икономически университет - Варна
Keywords: MyGPT; document templates; personalized interviews
Summary/Abstract: This study explores the use of MyGPT, an AI-based language model, for generating aggregated reports in specific report templates using data from personalized interviews. The focus is on how MyGPT can auto-mate report generation, ensuring consistency, accuracy, and efficiency. The research involved developing a framework that integrates MyGPT with interview data processing pipelines. Results show that MyGPT signif-icantly reduces the time required for report generation while maintaining high standards of content quality. A case study is presented to demonstrate the practical application of the framework in a real-world scenario. The paper discusses the implications of these findings and suggests directions for further research.

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