From the Field: What Customers Really Want in Predictive Maintenance - with Tom Jacques

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