If IT and business leaders tie AI projects to business objectives and set up metrics for success, they can see what experiments fail to live up to their goals — and pull the plug before costs add up. Credit: Harbucks / Shutterstock Many organizations running AI pilots will inevitably encounter a key IT dilemma: when to pull the plug and move on. If they dump a pilot that’s not meeting expectations too soon, they may miss out on huge benefits down the line, but if they hang on too long, they can waste huge amounts of time, money, and resources. On the one side, Forrester recently warned organizations not to look for AI ROI too soon, because they could miss out on AI’s benefits. But AI isn’t cheap, and […]
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