Stop Fixing, Start Predicting: Mastering Predictive Maintenance with IoT Data Analytics and AI
Key Takeaways
Organizations face significant challenges in predictive maintenance, including managing real-time data and scaling analytics platforms.
There is a critical need to address machine learning skill gaps to effectively implement predictive maintenance solutions.
Implementing predictive maintenance can lead to improved safety, reduced unplanned downtime, and better alignment between asset owners and their vendors.
Learn the biggest challenges organizations face with predictive maintenance—from managing real-time data and scaling analytics platforms to addressing machine learning skill gaps. You’ll hear from OpenText experts, including former field engineer Phil Schwarz, on how predictive maintenance improves safety, reduces unplanned downtime, and aligns asset owners with their vendors.
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