Summary of The Role Of Accuracy and Validation Effectiveness in Conversational Business Analytics, by Adem Alparslan
The Role of Accuracy and Validation Effectiveness in Conversational Business Analytics
by Adem Alparslan
First submitted to arxiv on: 18 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: General Economics (econ.GN)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Conversational business analytics aims to empower end-users to retrieve data and generate insights using natural language interactions. This study focuses on Text-to-SQL as a representative technology for translating NL requests into SQL statements. Developing theoretical models grounded in expected utility theory, the analysis identifies conditions under which conversational business analytics can outperform delegation to human experts. The results show that partial support is viable when AI-generated SQL queries are accurate and profitable, while full support requires high validation effectiveness and robust mechanisms to assess quality. The study highlights challenges in user-based validation, including misjudgment and rejection of valid SQL queries. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Conversational business analytics helps people get the data they need by talking to a computer. This paper looks at how well this can work compared to asking a human expert. They found that sometimes it’s better to let the computer do some things on its own, like generating ideas, but other times it’s best to have the computer and person working together to make sure the answers are correct. |
