Yet Another “Revolutionary” AI Solution for Industrial Machinery Maintenance

Key Points: Not-So-Impressive AI Failures Prediction System

Welcome to the era of half-baked technological mumbo jumbo! Another club of tech nerds has combined sensors, edge computing hardware, and AI algorithms to keep a watchful, albeit probably useless, eye on industrial machines. They claim to predict potential failures by studying vibrations and expect us to applaud their effort whilst ignoring the prevalence of similar systems.

Implications: More Hyped-Up Buzzwords, Less Substance

Yes, the technology may have some minor merits. This could mean less downtime for machinery, a modest increase in productivity, and fewer opportunities for technicians to charge exorbitant fees for emergency repairs. Industrialists might even get a good night’s sleep without worrying about their monstrous machines croaking in the dark. But like all AI nonsense, don’t hold your breath for it to solve all your machinery woes.

Hot Take: Another Tech Flop in the Making?

Honestly, the tech world’s constant need to reinvent the wheel is nauseating. While the idea of using machine learning to monitor and predict machinery failures is not in itself dreadful, the faith we should put in this is as slim as your knowledge in quantum physics. Yes, this could possibly save some companies a few bucks on maintenance. But the likelihood that it’s another overhyped slice of tech pie aiming to fatten the pockets of tech dorks is high. So, leave the tools to the toolshed and let the professionals do what they do best. Isn’t it lovely how tech bros think they can solve everything with algorithms and sensors?

Original article:https://venturebeat.com/ai/tractian-gets-45m-to-expand-ai-monitoring-of-industrial-machinery/