From Insight to Action: Connecting Predictive Maintenance and CMMS - with Chris Smith

Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – which gives you visibility and insights
into all your assets, from single machines to full plants to help
you reduce downtime, increase knowledge sharing and accelerate
digital transformation across your organization.In this episode of
the Trend Detection Podcast, Niall Sullivan is joined by Chris
Smith, Head of Operations for Senseye Predictive Maintenance, to
explore the relationship between predictive maintenance and
computerized maintenance management systems, or CMMS.Chris explains
why organizations should consider establishing value and learning
how predictive maintenance fits within their operations before
fully integrating it into existing workflows. He also discusses how
CMMS data can provide valuable context, reduce manual investigation
and help maintenance teams focus their attention on the issues that
require action.In this episode, you’ll learn:When to integrate
predictive maintenance with your CMMSHow CMMS data adds context and
accelerates decision-makingWhy trust and ownership matter more than
technology aloneHow to turn predictive insights into maintenance
actionWhy standardised integrations still require local
flexibilityYou can find out more about how Senseye Predictive
Maintenance can reduce unplanned downtime and contribute towards
improved sustainability within your manufacturing plants, by
visiting: www.siemens.com/senseye-predictive-maintenance