Report: Enterprise AI Moves From Prediction to Autonomous Decision-Making

“Enterprises are done with a backward-looking point of view; they want to be more forward-thinking,” Vishal Gupta, a partner at research firm Everest Group, says in the report.

Intelligent analytics powered by technologies such as deep learning and generative AI are making this possible, the report says. Real-time training allows AI to evolve continuously instead of waiting for quarterly refreshes. Newer predictive engines also rely on a broader set of data, including numerical records and messy, unstructured sources of insight-rich interactions.

The report says AI-powered analytics are moving enterprises from passive hindsight to pragmatic foresight. It describes predictive analytics as a broad discipline that includes predictive modeling, data preparation, analysis workflows, interpretation of results and decision-making applications. AI is taking that discipline to new heights, the report says. The report frames the shift as bringing predictive analytics into the agentic AI era.

“In many ways I think the word ‘analytics’ is giving way to AI,” Gupta says. “Everything is becoming AI.”

The report is available for download. The content was produced by Insights, MIT Technology Review’s custom content arm, not its editorial staff, and was researched and written by humans, with any AI tools limited to production processes under human oversight.