INFORMAZIONI SU QUESTO EPISODIO
You can't improve reliability if you don't trust your maintenance data. And without quality data, even the best AI and analytics will fall short.
In this episode of Reliability 4.0, Ryan Chan, Founder & CEO of UpKeep , shares how a frustrating experience as a process engineer led him to build a mobile-first CMMS—and why high-quality data is the foundation for AI, root cause analysis, and better maintenance decisions.
Ryan explains why reducing downtime often creates more value than increasing production speed, why technicians should capture information where the work happens, and how AI is changing the way reliability teams analyze data not replace them.
We discuss:
🔹 Why reducing downtime can deliver bigger gains than increasing line speed
🔹 How mobile-first maintenance improves data quality
🔹 Why AI is only as good as the data behind it
🔹 The difference between a CMMS and Root Cause Analysis
🔹 Why quality and quantity of data determine better reliability decisions
If you're investing in AI, CMMS, or reliability improvement, this conversation is a reminder that better decisions always start with better data.
This episode is available on:
📺 YouTube: https://youtu.be/c80gqKCRVcU
🎧 Apple Music: https://podcasts.apple.com/us/podcast/reliability-4-0/id1729943699
Or wherever you get your podcasts!
Want to strengthen your RCA process alongside your maintenance data? 👉 https://easyrca.com/engage
#Reliability40 #Maintenance #CMMS #RootCauseAnalysis #AssetManagement #ArtificialIntelligence #ReliabilityEngineering
