What are the main challenges and risks of implementing predictive maintenance and AI in your industry?
Predictive maintenance (PdM) is a proactive approach to prevent equipment failures and optimize performance by using data, sensors, and artificial intelligence (AI) to monitor and analyze the condition and behavior of assets. PdM can help you reduce downtime, increase efficiency, and save costs in your industry. However, implementing PdM and AI also comes with some challenges and risks that you need to be aware of and address. In this article, we will discuss some of the main ones and how you can overcome them.
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Ryan Chan, CMRPFounder and CEO at UpKeep | Forbes 30 Under (Now Over) 30
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Nikhila SattalaProduct Owner @ BeyondScale | Building Bolt: AI-powered CMMS for Optimized Maintenance & Reduced Downtime
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Carlos E. TorresTransforming predictive maintenance to boost industrial productivity with proven savings | CEO