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International Journal of Computer Engineering and Technology (IJCET)
Volume 15, Issue 2, March-April 2024, pp. 45-55, Article ID: IJCET_15_02_007
Available online at https://iaeme.com/Home/issue/IJCET?Volume=15&Issue=2
ISSN Print: 0976-6367 and ISSN Online: 0976–6375
Impact Factor (2024): 18.59 (Based on Google Scholar Citation)
© IAEME Publication
NATURAL LANGUAGE GENERATION AND
ARTIFICIAL INTELLIGENCE IN FINANCIAL
REPORTING: TRANSFORMING FINANCIAL
DATA INTO STRATEGIC INSIGHTS FOR
EXECUTIVE LEADERSHIP
Sandeep Kumar
Director SAP Enterprise Solutions and Analytics,
Farmers Insurance Group, Woodland Hills, USA
Manoj Kumar Vandanapu
Independent Researcher, Illinoi, USA
ABSTRACT
This article explores the innovative integration of Natural Language Generation
(NLG) and Artificial Intelligence (AI) in financial reporting, spotlighting their
transformative impact on turning financial data into strategic insights for executive
leadership through automatic commentary generation. At the intersection of AI
advancements and financial analysis, NLG emerges as a pivotal technology, enabling
the automated transformation of complex financial datasets into narrative or
commentary reports that are coherent, insightful, and accessible to decision-makers.
The discussion extends to the mechanisms underlying NLG's functionality in financial
reporting ranging from data interpretation and language processing to commentary
generation and customization thereby enhancing report efficiency, accuracy, and
accessibility. Through detailed exploration, this article articulates NLG's contributions
to financial reporting commentary, such as improved efficiency, accuracy, scalability,
and the personalized delivery of financial insights. It also addresses the challenges
inherent in NLG application, including technical and ethical considerations, and the
limitations of current technologies in capturing financial nuances. Looking forward, the
article envisions a future where ongoing advancements in AI and machine learning
further refine NLG's capabilities, offering even richer, more nuanced financial insights
to support strategic decision-making at the highest levels of business leadership.
Keywords: Artificial Intelligence, Machine Learning, SAP Analytics, Financial
Reporting, Data Governance, SAP ERP, SAP RISE, Cloud Offering.