AI
Raising the quality of insights in agentic analytics
MIT Technology Review AIMonday, November 2, 2026 at 5:00 PM
RedScroll Brief

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.
RedScroll Signal
- Impact
- High
- Category
- Ai
- Market relevance
- Moderate
- Why it matters
- AI developments move capital, regulation, and competitive advantage across the tech stack. 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. Secondary effects may show up in markets and supply chains linked to Raising.
Desk copy
RedScroll Briefing
Extractive editorial brief — not a reprint of the original
What happened
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.
Why it matters
AI developments move capital, regulation, and competitive advantage across the tech stack.
Background
MIT Technology Review AI reported on this under ai. RedScroll surfaces the signal with an extractive brief — not a reprint of the original article. Read the source for full reporting.
Timeline
MIT Technology Review AI published: Raising the quality of insights in agentic analytics
Story is in today’s RedScroll edition. Follow the original source for updates.
Economic impact
Secondary effects may show up in markets and supply chains linked to Raising.
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Source
MIT Technology Review AI
Original reporting by MIT Technology Review AI. RedScroll provides an extractive briefing only.