Bringing predictive analytics to the agentic AI era
Sponsored MIT Technology Review piece says agentic AI is pushing predictive analytics toward autonomous business decisions.
A sponsored MIT Technology Review Insights piece argues that by 2026 enterprises already accept AI forecasts over traditional statistics, and the open problem is letting predictive systems act without drifting from business intent. Everest Group partner Vishal Gupta says companies want forward-looking analytics using deep learning, generative AI, and continuous training on unstructured data. The article was produced by the magazine’s custom-content arm, not its editorial staff, and promotes a downloadable report.
- Sponsored custom content, not MIT Technology Review newsroom reporting.
- Argues predictive systems should act autonomously without leaving business intent.
- Everest Group’s Vishal Gupta says analytics is giving way to AI.
- Cites deep learning, generative AI, real-time training, and unstructured data.
- Organizations
- Everest GroupMIT Technology Review
From the original article
1 min read at technologyreview.com
In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The frontier has moved from prediction to autonomous decision making, and the gap between…
By MIT Technology Review Insights · technologyreview.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.