Spicing Up Innovation: Predictive Maintenance at Kotanyi
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 ...
15 Minuten
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vor 3 Monaten
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.This covers:Why
long-standing manufacturers like Kotányi are embracing digital
transformation—and what it takes to turn tradition into innovation
with predictive maintenance.How starting with a single bottleneck
machine helped Kotányi reduce downtime, prove value fast, and lay
the foundation for future AI-driven improvements.Why success isn’t
just about installing new tech—but about aligning with business
goals, involving shopfloor teams, and making insights
actionable.The critical importance of choosing the right
partner—offering end-to-end solutions, domain expertise, and a
collaborative approach that fits existing operations.Lessons
learned from the frontlines: Avoiding change management pitfalls,
breaking down silos, and scaling predictive maintenance with
strategy, simplicity, and speed.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-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.This covers:Why
long-standing manufacturers like Kotányi are embracing digital
transformation—and what it takes to turn tradition into innovation
with predictive maintenance.How starting with a single bottleneck
machine helped Kotányi reduce downtime, prove value fast, and lay
the foundation for future AI-driven improvements.Why success isn’t
just about installing new tech—but about aligning with business
goals, involving shopfloor teams, and making insights
actionable.The critical importance of choosing the right
partner—offering end-to-end solutions, domain expertise, and a
collaborative approach that fits existing operations.Lessons
learned from the frontlines: Avoiding change management pitfalls,
breaking down silos, and scaling predictive maintenance with
strategy, simplicity, and speed.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-maintenance
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