81 Folgen

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-maintenance

Trend Detection Podcast Siemens

    • Technologie

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-maintenance

    Transforming Predictive Maintenance by Combining Data, People and Generative AI with Dr Simon Kampa

    Transforming Predictive Maintenance by Combining Data, People and Generative AI with Dr Simon Kampa

    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 episode features an exclusive presentation given by Dr Simon Kampa at Hannover Messe 2024. He covers the topic of Transforming Predictive Maintenance by Combining Data, People and Generative AI and highlights the key features of the Senseye PdM application. 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-maintenance

    • 13 Min.
    Industrial AI with Boris Scharinger- Part 2

    Industrial AI with Boris Scharinger- Part 2

    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.In this session we discuss Industrial AI with Boris Scharinger. 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-maintenance

    • 16 Min.
    Industrial AI with Boris Scharinger- Part 1

    Industrial AI with Boris Scharinger- Part 1

    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.In this session we discuss Industrial AI with Boris Scharinger. 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-maintenance

    • 15 Min.
    Readiness for PdM in India with Abhishek Basu- Part 2

    Readiness for PdM in India with Abhishek Basu- Part 2

    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.In this session we discuss Readiness for PdM in India with Abhishek Basu. 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-maintenance

    • 18 Min.
    Readiness for PdM in India with Abhishek Basu- Part 1

    Readiness for PdM in India with Abhishek Basu- Part 1

    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.In this session we discuss Readiness for PdM in India with Abhishek Basu. 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-maintenance

    • 18 Min.
    DE Episode: IoT Time- with Peter Schopf and Christina Schloter

    DE Episode: IoT Time- with Peter Schopf and Christina Schloter

    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.In this session we discuss IoT time with Peter Schopf and Christina Schloter. 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-maintenance

    • 32 Min.

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