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Trend Detection Podcast
Siemens
230 episodes
3 weeks ago
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.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.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-maintenanceDISCLAIMER: Unnecessary maintenance," "wasteful activities," or "over-maintenance" only exist when they are unrelated to safety and safety of personnel. Always verify if the maintenance intervals are safety-related; if so, please contact your manufacturer or consult your operating manual.
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Technology
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All content for Trend Detection Podcast is the property of Siemens and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.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-maintenanceDISCLAIMER: Unnecessary maintenance," "wasteful activities," or "over-maintenance" only exist when they are unrelated to safety and safety of personnel. Always verify if the maintenance intervals are safety-related; if so, please contact your manufacturer or consult your operating manual.
Show more...
Technology
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Senseye in Action – Predictive Maintenance für die smarte Fabrik
Trend Detection Podcast
33 minutes 5 seconds
3 weeks ago
Senseye in Action – Predictive Maintenance für die smarte Fabrik
Levin Burkhart wird Ihnen mehr über Senseye Predictive Maintenance erzählen und wie Sie damit Maschinenausfälle erkennen können, bevor sie auftreten. Erfahren Sie, wie die KI-gestützte Lösung vorhandene Datenquellen nutzt, um Anomalien frühzeitig zu erkennen und Ausfälle vorherzusagen. So können Sie ungeplante Ausfallzeiten reduzieren, auf Echtzeitdaten zu Ihren Anlagen zugreifen, Kosten senken und Ihre Produktion zukunftssicher machen.Machen Sie mit uns den Schritt in Richtung intelligente Produktion und erfahren Sie, wie Sie Ihre Daten nutzen können, um Ihre Effizienz zu steigern.
Trend Detection Podcast
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.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.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-maintenanceDISCLAIMER: Unnecessary maintenance," "wasteful activities," or "over-maintenance" only exist when they are unrelated to safety and safety of personnel. Always verify if the maintenance intervals are safety-related; if so, please contact your manufacturer or consult your operating manual.