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mit tech review · October 5, 2026

ai shifts from prediction to autonomous decision making

enterprises now focus on enabling ai to act autonomously without drifting from business intent. predictive analytics is evolving with deep learning and generative ai.

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in 2026, enterprises are focusing on enabling predictive systems to act autonomously without drifting from business intent. vishal gupta, partner at everest group, notes that enterprises want to be more forward-thinking, beyond a backward-looking point of view. ai-powered analytics, using deep learning and generative ai, allow for real-time training and expanded data sources, including unstructured insights. this shift enables enterprises to move from passive hindsight to pragmatic foresight. as a result, the gap between leaders and laggards in ai adoption is widening.

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