Every AI database answer needs a source trail
The article emphasizes the importance of source provenance in AI database answers. It argues that without clear sourcing, AI-generated responses can lead to misinformation, particularly in critical business decisions. The author advocates for integrating provenance tracking into database tools to ensure accuracy and reliability.
- ▪AI answers without provenance can mislead decision-making processes.
- ▪Understanding the source of data is crucial for accurate business metrics.
- ▪Provenance should be automatically generated by database tools to enhance reliability.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3846701) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mads Hansen Posted on May 19 Every AI database answer needs a source trail #mcp #postgres #database #ai An AI answer without provenance is just a confident paragraph. That may be fine for brainstorming. It is not enough for database answers that drive product, finance, support, or operations decisions. When an agent returns “MRR is up 8%,” the useful question is not only whether the number came from a database.
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