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 operations

• How 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 systems

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