An expert panel, with Tracsis’ James Page, on how machine learning is taking rail asset monitoring from reactive maintenance to failure prediction.

Asset monitoring solutions already help teams track the condition, health and performance of thousands of assets, from signalling equipment to hydraulic assets, supporting faster identification of emerging faults. But as networks become busier, more complex and under increasing pressure to reduce downtime, reactive maintenance will no longer be enough.

The panel will explore how machine learning models can be trained on rich, real-world rail asset data sets to detect early signs of degradation, predict potential failures and support safer, more cost-effective maintenance decisions at scale. James Page will also share Tracsis’ significant progress, including active work with client partners across some of the world’s busiest rail networks to train and test the predictive monitoring capabilities that will define the next generation of rail asset management.

Key learning points

  • From reactive to predictive: understand why reactive maintenance can no longer keep pace with busier, more complex rail networks under pressure to cut downtime
  • From signalling to hydraulics: learn how monitoring solutions track the condition, health and performance of thousands of assets to flag emerging faults faster
  • Machine learning in action: explore how models trained on real-world rail asset data can detect early signs of degradation and predict failures
  • Lessons from the field: discover Tracsis’ progress working with client partners to train and test predictive monitoring capabilities across some of the world’s busiest rail networks

Interested? Register now to secure your place!

Is this webinar free?

Yes - there is no charge to watch the webinar, either live or on-demand.

When will the webinar take place?

The webinar takes place 10 Spetember at 2PM UK Time

Can I watch the webinar later?

The webinar will be available to watch on-demand shortly after the live broadcast takes place.

What are the benefits of attending live?

During the live webinar, you will be able to pose questions to the speakers, which will then be answered during the live Q&A session at the end of the webinar.

How long will the webinar be?

The live webinar will last for up to one hour.

Who will be hosting?

Global Railway Review.

What do I need to watch this webinar?

All you need is a computer with an internet connection. It is advised to use headphones where possible for your own comfort.

 

Exploring the future of predictive rail asset monitoring

2026-09-10T09:00:00
2026-09-10T09:00:002026-09-10T10:00:00
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