原文开头
From Volkswagen’s factories to Scottish distilleries, AI-driven predictive maintenance is cutting costs, boosting safety and reducing emissions WRITTEN BY: TOM CHAPMAN One of Boston Dynamics’ Spot robots When workers on Volkswagen’s assembly line spot a potential electronic fault, they no longer reach for diagnostic manuals. Instead, an AI system called KI4UPS pinpoints the issue within seconds, dramatically reducing the time spent manually diagnosing problems across multiple vehicle production lines. Across industries worldwide, AI is fundamentally reshaping how organisations approach equipment maintenance. The evolution from reactive repairs to predictive interventions is delivering results that influence everything from workplace safety to environmental sustainability. From reactive to predictive Generally, such transformation begins with data. …
摘自《人工智能杂志》(AI Magazine)第37期 · 2026年3月刊。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。