Raising Quality Insights
The publication hits an underrated bottleneck: enterprises are rushing to hand agents end-to-end analytics workflows, yet few have a reliable way to verify whether the insights those agents produce are actually correct. A confident, subtly wrong analysis over messy business data can be more damaging than no answer at all.… more
In our view, the fix will come less from better prompts than from evaluation pipelines, provenance tracing to source data, and human-in-the-loop review before agents take real actions. One caveat worth keeping in mind: the framing is broad and vendor-friendly — MIT Tech Review publishes underwritten content — so treat this as a trend primer rather than hard-hitting analysis.
Raising the quality of insights in agentic analytics
In just a few years, generative AI has changed the face of enterprise analytics, notably by making analytics accessible to users across the organization. Agentic AI promises to do even more, by automating entire workflows and taking actions based on agent insights. But there is a problem: The qu…
Source:
MIT Technology Review
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