Ken Briodagh

December 11, 2025

One of the toughest challenges with solving predictive maintenance, enabled by AI, is that there is usually no data available for training the system. Modern equipment may not break down for 5 years or more so there is insufficient data when the product is first launched on when and how it will break down. But AI systems using traditional methods such as Deep Learning can only operate when sufficiently large volumes of data are available for training the system and hence, they are incapable of addressing this problem.

Chad Cox

July 10, 2025

With the power of AI, modern manufacturing is developing at a faster pace than before. Factories equipped with intelligent systems are now driving innovation by using real-time data to optimize performance and efficiency. Manufacturing is no longer just sensors and conveyer belts, it is a conglomerate of AI, automation, and the engineers and factory workers that work alongside technology.