Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data

arXiv:2404.15604v1 Announce Type: new
Abstract: In the field of business data analysis, the ability to extract actionable insights from vast and varied datasets is essential for informed decision-making and maintaining a competitive edge. Traditional rule-based systems, while reliable, often fall short when faced with the complexity and dynamism of modern business data. Conversely, Artificial Intelligence (AI) models, particularly Large Language Models (LLMs), offer significant potential in pattern recognition and predictive analytics but can lack the precision necessary for specific business …

abstract analysis arxiv business business data business insights complexity cs.ai cs.cl data data analysis datasets decision edge extract hybrid insights llm making modern structured data systems type vast while