Digital Drivetrains & Predictive Maintenance: Turning Motion Data into Action - with Louis Mahlau

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,
we’re joined by Louis Mahlau, Product & Portfolio Manager - IoT
& Analytics at Siemens, who explores how digital drivetrains
are transforming the way industrial assets are monitored and
maintained and how combining IoT, AI, and domain expertise is
unlocking a new generation of predictive maintenance.What a digital
drivetrain is and why it underpins so much of modern industrial
operationsHow predictive maintenance shifts organizations from
reactive and preventive approaches to truly predictive insights How
sensors, connectivity, cloud computing, and digital twins come
together to turn raw machine data into actionable intelligence A
real-world example of how connecting a single motor enabled early
detection of issues before production downtime occurred Where the
true value lies beyond technology — including data quality,
scalability, and change management Why many pilots fail to scale,
and what successful organizations do differently from the start How
industrial AI and copilots are making complex machine data easier
to understand and act on What the future looks like — from
prescriptive maintenance to autonomous, self-optimizing systemsYou
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