Agentic AI Adds Action—and an Insight Quality Problem — SkimNews
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- Generative AI changed the face of enterprise analytics in just a few years, notably making analytics accessible to users across the organization.
- Agentic AI is promised to automate entire workflows.
- Agentic AI is also promised to take actions based on agent insights.
- Agentic analytics is framed around a problem with the quality of insights, with quality improvement as the stated focus.
Why it matters: Within just a few years, enterprise analytics users gain broader access through generative AI, while agentic AI shifts the practical stakes from receiving answers to software taking action across entire workflows. The source’s quality warning matters because those actions are based on agent insights, making insight quality the material constraint on the promised automation.
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