Podcaster
Episoden
03.12.2025
28 Minuten
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.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
Mehr
26.11.2025
36 Minuten
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 episode
covers: Cut Through the Noise: Discover the true, underlying
challenges customers face in maintaining their assets, moving
beyond buzzwords to focus on what genuinely impacts production and
downtime.Experience Rapid Intelligence: Learn how Senseye's
software can "learn" an asset's normal operation in just 2-5 days,
providing insights that might seem too good to be true, and how
customer feedback directly shapes its evolution.Debunk Predictive
Maintenance Myths: Understand that predictive maintenance isn't
about eliminating all failures or replacing human expertise, but
about optimizing maintenance timing and acting as a powerful
decision-support tool.Witness Industry 4.0 in Action: Hear how
digital transformation is delivering real, measurable success for
companies across various sectors, making advanced asset monitoring
more accessible and impactful than ever before.Strategize for
Maximum Impact: Gain insight into how identifying critical pain
points and understanding the ripple effects of asset failure are
key to selecting the right machines for monitoring, ensuring
significant return on investment.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
Mehr
20.11.2025
27 Minuten
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 this episode,
you will learn about:Defining the Role: You'll discover that a
predictive maintenance champion is a key individual responsible for
integrating new technologies like Senseye, ensuring its full
utilization, keeping colleagues engaged, and effectively
communicating its value across all levels of the organization.Why a
Champion is Essential: Learn why having a dedicated champion is
critical for the success of predictive maintenance initiatives,
preventing them from being sidelined by other priorities and
ensuring the technology's potential is fully realized.Overcoming
Challenges: Understand the common hurdles champions face, such as
resistance from experienced staff to new technologies and the
administrative tasks involved. You'll hear how demonstrating
tangible results is key to building trust and gaining
acceptance.Measuring Impact: Explore how the success of a
predictive maintenance program and the champion's contribution are
measured, primarily through avoided downtime and documented cost
savings, which ultimately makes maintenance teams' jobs
easier.Becoming and Supporting a Champion: Get advice on how to
become a champion by demonstrating technical aptitude and
proactivity, and learn what leadership needs to do to empower and
support these champions to ensure the long-term success of
predictive maintenance efforts.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
Mehr
12.11.2025
37 Minuten
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.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
Mehr
05.11.2025
1 Stunde 6 Minuten
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.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
Mehr
Über diesen 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.
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