2025 is a pivotal year for rail maintenance engineering—not because of a single shift, but because of the convergence of system-wide mandates across passenger and freight. Electrification targets, carbon reduction commitments, safety enforcement, and network performance expectations are all tightening at once. At the same time, operators face ageing fleets, digital system upgrades, and significant workforce churn. But these pressures also create a rare window for transformation.
This event will showcase how operators are embedding intelligence into assets, reducing inefficiency, and elevating maintenance from a cost centre to a strategic function, driving network reliability.
Whether it’s ageing fleets, tightened opex, growing emissions mandates, or escalating downtime risk, all segments face the same reality: they need a new operational playbook. And that’s what this conference is built to deliver.
Every topic here will be unpacked in depth, for example looking at:
- How mainline operators are redesigning lifecycle cost models
- How freight operators are applying fatigue analytics to mixed fleets
- How metro systems are managing software-induced downtime on new fleets
- And how every segment is aligning CBM with realistic workforce strategy
The consultation campaign began by asking hard engineering questions: How do we improve performance and reliability at the root level? What changes matter on the depot floor—not just in dashboards? Before chasing the next AI breakthrough, we focused on systemic alignment, workforce processes, and real-world reliability enablers.
Operators shared firsthand how unexpected failures don’t just disrupt service—they trigger cascading cancellations, erode public trust, and carry a reputational cost. When new fleets falter due to software or integration gaps, when corrosion is discovered too late, or when midlife refurbishments are delayed due to poor planning, the cost isn’t just technical. It’s reputational.
Rail Reliability Is a Whole-System Issue With Shared Performance Demands
We also expanded our 2025 industry-wide consultation beyond the traditional focus on mainline passenger and local urban transit systems. Freight rail operators were brought into the fold, recognizing that their operational realities—and their maintenance demands—are equally vital to shaping a resilient, cost-effective, and performance-driven rail network.
As one rail CEO told us bluntly: “We used to think reliability was a depot issue. Now it’s a front-page one.” In 2025, reliability is public—and expectations are higher than ever.
When Freight Teaches Passenger Transit (and Vice Versa)
While operating contexts differ, the strategic enablers are strikingly similar. Whether urban, freight, or mainline, operators are wrestling with digital integration, resourcing constraints, and the need to build cross-functional teams. That’s why diverse case studies matter—not to compare, but to translate shared lessons into actual results.
This event will address:
- How freight leaders are managing fatigue analytics, mixed-fleet rebuilds, and predictive scheduling across 10,000+ assets
- How local transit agencies are managing midlife refurb delays while under pressure to win back ridership
- How mainline networks are building hybrid data strategies across old rolling stock and new digital platforms
- And how all segments are rethinking what workforce structure, accountability, and capability really look like in 2025/26
And the fixes extend far beyond the adoption of new technology—it begins with embedding a more proactive inspection culture that enhances asset visibility, identifies early deterioration, and closes gaps in rolling stock condition management. It’s a work in progress, but quality events like this play a critical role in accelerating that progress by surfacing real issues, sharing proven strategies, and connecting the right people to move things forward.
What’s Holding Back Predictive Maintenance? (Hint: It’s Not the Sensors)
Too many predictive maintenance projects stall or fail—not because the tools are wrong, but because the team isn’t ready. Operators across the board report internal resistance, low trust in data outputs, and confusion over how to operationalise predictive alerts within legacy workflows.
Layer on vendor lock-in, lack of access to OEM data, and fragile supply chains—and even well-intentioned strategies become fragile in practice. The answer? Hear how to treat predictive maintenance as a full-system transition, not a bolt-on initiative.
This year’s event focuses on how operators are:
- Replacing fragmented maintenance efforts with integrated condition-based frameworks
- Using system-wide health indicators—not just component-level alerts
- Pairing predictive diagnostics with AI-assisted scheduling tools
- Mapping refurbishment backlogs to real-time reliability and risk profiles
- Implementing cross-functional playbooks with engineering, digital, and depot teams jointly involved
Every session is grounded in what’s working in practice—and what to avoid. We’ll hear directly from operators who’ve scaled these strategies under pressure.
It’s about:
· Reshaping the workforce and culture - including re-skilling, recruitment and retention
· Aligning engineering with analytics, and
· Building multidisciplinary teams capable of managing complexity in real time
The agenda drills down into what this transformation looks like in practice—whether that’s how one operator reduced fault response time by integrating asset health dashboards into depot workflows, or how another rebuilt its reskilling model around role-based, cross-functional training tracks that link diagnostics, scheduling, and fleet planning. Across every session, the focus is on delivering solutions that work within your environment, considering your specific constraints.
Learn How To Build a Workforce That Believes in the Data
Every operator is talking about reskilling—but many still approach it as a compliance exercise. The reality? Reskilling is an organisational system. If staff don’t trust the data, won’t use the dashboards, or can’t interpret the alerts, no predictive model will deliver impact.
This event confronts the human layer of transformation by showcasing:
- How to build trust in diagnostic tools through explainable alerts and local ownership
- Role-based learning tracks tailored to depot vs. control room vs. engineering teams
- How urban networks are combining mentorship with micro-learning
- Workforce transition playbooks from operators losing veteran engineers to retirement
- Digital upskilling that starts with culture—not just clicks
Institutional Knowledge Is Walking Out the Door - Reskill for the Future—But Honour the Past
It’s not just about digital talent—it’s about engineering memory. Veteran maintainers are retiring fast, and with them goes years of tacit knowledge: pattern recognition, gut instinct, and local fixes that aren’t written anywhere.
Sessions at this event will tackle:
- How to capture tacit knowledge using shadowing, structured handovers, and digital storytelling
- Knowledge-retention programs built into refurbishment projects and depot rotation
- Onboarding frameworks that combine digital fluency with physical system literacy
- How to position your company as a destination for next-gen digital maintenance talent
- Designing internal career pathways that cross-pollinate tech, ops, and engineering
Implementing Modern, More Predictive Maintenance Approaches That Match Operational Reality
Integrating predictive maintenance into day-to-day operations therefore requires a comprehensive redesign of the entire system. Success requires aligning diagnostic data with real-world decision triggers, embedding fault intelligence into planning workflows, and ensuring that component availability keeps pace with predictive alerts.
Align Data, Decisions, and Availability—Not Just Tech
At this event, operators will unpack exactly how they’ve made that shift, from one mainline operator that redesigned its maintenance window scheduling using predictive health indicators tied to depot capacity, to a local transit operator that built a parts reordering model, reducing lead times by 40% for high-failure components. Every session is designed to help leaders transition from theory to system-wide implementation—linking data, teams, tools, and supply resilience into a repeatable and scalable maintenance framework.
Stretch the Fleet, Not the Failure Rate
Every operator wants to extend the life of their fleet. But life extension isn’t about simply deferring spend—it’s about protecting performance while pushing the asset further. And when midlife refurbishments are delayed or poorly sequenced, the result is breakdowns, service gaps, and spiralling maintenance cost.
This event delivers detailed discussions on:
- How operators are modelling remaining useful life across complex, mixed-asset fleets
- The systems needed to safely defer replacement without reliability erosion
- Planning frameworks for midlife overhaul that factor in peak service windows
- The balance between capital savings and emissions upgrades in aging stock
- Case studies where life extension deferred replacement capex by 5–7 years
Apply Operational Readiness Frameworks That Catch Issues In Time
Simply buying new trains no longer guarantees performance reliability, either. Several urban transit operators shared how software integration failures, commissioning gaps, and incomplete readiness testing in new fleets have led to unplanned downtime, delayed rollouts, and increased public scrutiny. What has become clear is that modernisation only delivers value when supported by robust system integration, data harmonisation across onboard and depot platforms, and full operational readiness planning.
Speakers will highlight hard-won lessons from operators who have faced these challenges, such as one agency that restructured its fleet onboarding protocol to include multi-stakeholder integration testing, and another that embedded service simulation into commissioning to pre-empt failure modes before live deployment.
Discover How Operators Are Building Supply Chain Resilience Into the Strategy
In an era of price volatility, sourcing risk, and part-specific obsolescence, the supply chain has become a frontline maintenance issue. Operators can’t afford to wait for failure, then scramble for components.
This agenda explores:
- Predictive reordering tied to CBM alerts and failure forecasts
- Secondary supplier strategies for critical but volatile parts (brake discs, semiconductors, valves)
- Regionalised stockpiling tactics based on duty cycle risk profiles
- How to embed parts resilience into maintenance planning—not procurement silos
- De-risking the supplier base using performance-linked agreements
Turn Fragmented Processes Into a Connected, Reliable Maintenance Strategy
You told us that siloed thinking has no place in modern fleet maintenance. Whether it’s deploying diagnostics, reskilling teams, or redesigning workflows, operators are learning the hard way that piecemeal approaches stall progress. In your words, “What’s needed now is system thinking—where digital tools, workforce capability, asset strategy, and operational decision-making are aligned into one cohesive, resilient ecosystem”.
At this event, you’ll explore how operators have embedded this mindset: from one case where cross-functional diagnostic teams accelerated data-to-action turnaround by 45%, to another where digital workflows were rebuilt around integrated roles spanning depot, control, and supply.
Upskill Teams While Maintaining Reliability and Pace
This year’s event focuses on execution, not just ideas. Innovation doesn’t fail because the technology is wrong—it fails when it isn’t embedded, understood, or applied under real-world pressure. That’s why every session is grounded in the “how”: how to integrate tools into workflows without disrupting operations, how to upskill teams while maintaining service continuity, and how to hardwire change into the organisation so it survives beyond the pilot. You’ll hear from operators who have redesigned training around live deployment, applied technology in constrained environments, and turned innovation into repeatable, scalable processes.
Walk Away With Tools, Not Just Talking Points
Every session is designed to move beyond discussion and deliver execution-ready insight. From tactical implementation frameworks and benchmarked performance models to field-tested case studies, delegates will leave with tools they can deploy immediately in their own networks. Whether it's adopting a predictive maintenance model that’s already proven scalable, or applying a training playbook that reduces onboarding friction for new engineering talent, the goal is simple: practical transformation, ready to go live.
Built by Operators, For Operators
You’ll gain practical insight into the strategies that are currently working—from predictive maintenance and digital integration to supply chain planning and workforce transformation.
Download the full Agenda-at-a-Glance to explore the strategic tracks for Freight, Urban Transit, and Mainline rail.
Every session is built to:
- Surface the tactics, tools, and data models already delivering performance today
- Deconstruct failed initiatives to reveal avoidable pitfalls
- Help leaders turn strategy into job roles, budgets, timelines, and service-level impact
- Align maintenance transformation with cost control, emissions mandates, and ridership confidence
- Equip delegates with proven examples they can adapt—not hypotheticals they can’t afford
Whether you’re managing asset strategy, digital transformation, or operational resilience, this forum is built to help you solve what matters most. We look forward to welcoming you to Chicago this November.
If one case study helps you:
- Extend fleet life by just 12 months
- Reduce downtime by 10% by helping your engineers make decisions from complex predictive data
- Bring forward a CBM deployment by a quarter
- Retain one retiring engineer’s knowledge
- Avoid just one failed retrofit decision
Then the return on this event is already paid.