Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.This week, Trend Detection revisits a standout episode from the archive.In this conversation, Chris Wonson shares the story behind the deployment of Senseye Predictive Maintenance at BlueScope Steel and explores how predictive maintenance was being applied across its operations.The episode covers:How Senseye Predictive Maintenance was deployed at BlueScope SteelA success case that helped avoid 24 hours of unplanned downtimeHow Senseye Copilot was supporting the way teams worked at the time of recordingPractical advice for manufacturers implementing predictive maintenanceThis archive episode provides a valuable customer perspective on scaling predictive maintenance and turning asset data into practical maintenance action.Find out more about how Senseye Predictive Maintenance can help manufacturers reduce unplanned downtime and improve maintenance efficiency across their plants by visiting: www.siemens.com/senseye-predictive-maintenancePlease note that this conversation was originally recorded and published previously. Some product details may have evolved since the original recording.
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