Independent Researcher, USA.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 894-901
Article DOI: 10.30574/wjaets.2025.15.2.0610
Received on 28 March 2025; revised on 03 May 2025; accepted on 05 May 2025
This research paper explores the application of generative artificial intelligence (AI) in automating business report generation and analysis. The study investigates the potential of various AI models, including natural language processing (NLP) and machine learning (ML) techniques, to streamline the process of creating comprehensive business reports. We examine the effectiveness of these AI-driven approaches in extracting relevant information from diverse data sources, generating insightful analyses, and presenting findings in a coherent and user-friendly manner. The research also addresses the challenges and limitations associated with AI-powered report generation, as well as the potential impact on business decision-making processes. Our findings suggest that generative AI has the potential to significantly enhance the efficiency and quality of business reporting, leading to more data-driven and timely decision-making in organizations.
Generative AI; Business Reports; Automated Analysis; Natural Language Processing; Machine Learning
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Rahul Modak. Generative AI for automated business report generation and analysis. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 894-901. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0610.