Trend Detection Live! - The truth about predictive maintenance - with Nat Ford
Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – the platform, powered by Siemens, which
enables predictive maintenance at scale across all of your assets,
across all of your plants.For this live session, we w ...
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Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – the platform, powered by Siemens, which
enables predictive maintenance at scale across all of your assets,
across all of your plants.For this live session, we were joined by
Nat Ford, Business Development Director EMEA, Senseye Predictive
Maintenance, for our latest episode in an ongoing series looking
at: "The truth about predictive maintenance."Please subscribe via
your selected podcast provider to be notified about future
episodes.You 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-maintenanceConnect
with Nat Ford:https://www.linkedin.com/in/natford/Connect with
Niall Sullivanhttps://www.linkedin.com/in/niall-sullivan/
Predictive Maintenance – the platform, powered by Siemens, which
enables predictive maintenance at scale across all of your assets,
across all of your plants.For this live session, we were joined by
Nat Ford, Business Development Director EMEA, Senseye Predictive
Maintenance, for our latest episode in an ongoing series looking
at: "The truth about predictive maintenance."Please subscribe via
your selected podcast provider to be notified about future
episodes.You 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-maintenanceConnect
with Nat Ford:https://www.linkedin.com/in/natford/Connect with
Niall Sullivanhttps://www.linkedin.com/in/niall-sullivan/
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