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From Theory to Practicality: A Gear Industry Example
Release Time£º23 Oct,2025
<p style="text-align: center;"><img src="/ueditor/php/upload/image/20251023/1761207399930002.png" title="1761207399930002.png" alt="8.png"/></p><p style="text-align: justify;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12px;">AI is already transforming manufacturing¡ªfrom machine learning algorithms that optimize cutting paths to predictive maintenance systems that anticipate equipment failures. Training is simply the next frontier. Video learning has proven its worth but pairing it with AI opens the door to something far more dynamic, responsive, and scalable. As new technologies continue to reshape the shop floor, our approach to training must evolve as well. The ability to deliver flexible, just-in-time learning¡ªsupported by institutional knowledge and responsive AI¡ªisn¡¯t just a competitive advantage. Increasingly, it¡¯s becoming a necessity. For those of us in the gear industry, this evolution presents a powerful opportunity. It¡¯s a chance to retain the depth and craftsmanship that define our work, while embracing the tools that will help us train better, faster, and smarter. Because in this business¡ªas in any¡ªyou¡¯re either advancing, or you¡¯re on your way to becoming obsolete.</span></p><p><br/></p>
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