An expert panel, with Tracsis and Network Rail, on how machine learning is taking rail asset monitoring from reactive maintenance to failure prediction. Register to secure your place.

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!

SPEAKERS

Jude Parsons, Head of Assets (Signalling) at Network Rail
Jude Parsons is Route Head of Assets (Signalling) for the South Eastern Railway within Network Rail’s Southern Region. He is responsible for the management, performance and strategic development of signalling assets across one of the UK’s busiest rail networks. Jude has over two decades of experience in railway signalling, asset management and engineering leadership. His current focus includes digital railway technologies, remote condition monitoring, datalogging, reliability-centred maintenance and the use of asset intelligence to improve safety, performance and whole-life asset management. He is a Fellow of the Institution of Railway Signal Engineers (FIRSE) and is passionate about applying data-driven approaches to support the future railway. 

jp-photo

James Page is Senior Product Manager for the Tracsis Assets portfolio, where he leads the strategic roadmap for remote condition monitoring across signalling, trackside and other critical rail assets. With deep experience in machine learning and software products, his latest work focuses on using rich, real-world asset data to detect early signs of degradation, predict failures and support safer, more cost-effective maintenance decisions at scale.

He is focused on building products that deliver genuine value for front-line teams, ensuring asset monitoring translates into reduced downtime and more resilient operations.

 

Lily-KONUX-headshot

Lily Hashemi is a Senior Product Manager at KONUX, where she has spent the past two years developing solutions for railway switch and crossing monitoring. She holds a master’s degree in Human-Technology Interaction and brings an interdisciplinary perspective to the design of reliable, trustworthy and user-centred systems. Her particular interest lies in how people and intelligent technologies can collaborate effectively in safety-critical environments, especially rail, to support better decisions, safer operations and more trustworthy innovation across the industry for passengers and operators.

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 10AM 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
Online