Summary

The complexity of modern business data often surpasses the capabilities of traditional rule-based systems, prompting the need for advanced AI models like LLMs. This paper proposes a hybrid approach combining the strengths of both systems to improve actionable insights in business data analysis.

Bulletpoints:

• Integration of LLMs and rule-based systems enhances data analysis.
• Hybrid systems can adapt to complex and dynamic data environments.
• Offers potential for precise, actionable business insights.

Opinion

This paper contributes significantly to our understanding of utilizing AI in business data analytics, bridging the gap between vast data comprehension and precise insight extraction. It opens avenues for research into more intelligent, adaptive systems for real-world business applications.