The Connectivity Reality Behind Predictive Maintenance - with Johnathan Bonner
vor 4 Tagen
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 ac ...
Podcast
Podcaster
Beschreibung
vor 4 Tagen
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 the latest
episode of the Trend Detection podcast, we're joined by Johnathan
Bonner, Head of Solutions Engineering for Senseye, to explore why
connectivity is often the most underestimated part of a predictive
maintenance deployment.In this episode We discuss:Why industrial
connectivity is rarely as simple as “plug and play”How different
machines, systems and communication protocols create complexityWhy
IT, OT and cybersecurity teams need to be involved from the
outsetHow connectivity and integration can account for much of the
implementation effortWhy trying to reduce upfront costs can
ultimately delay time to valueHow mapping your infrastructure and
data sources can support predictive maintenance and future
digitalization projectsYou 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
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 the latest
episode of the Trend Detection podcast, we're joined by Johnathan
Bonner, Head of Solutions Engineering for Senseye, to explore why
connectivity is often the most underestimated part of a predictive
maintenance deployment.In this episode We discuss:Why industrial
connectivity is rarely as simple as “plug and play”How different
machines, systems and communication protocols create complexityWhy
IT, OT and cybersecurity teams need to be involved from the
outsetHow connectivity and integration can account for much of the
implementation effortWhy trying to reduce upfront costs can
ultimately delay time to valueHow mapping your infrastructure and
data sources can support predictive maintenance and future
digitalization projectsYou 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
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