RIAMS 2025 Agenda Day Two

07:00

Registration & Networking Refreshments

07:55

Chairperson's Opening Remarks & Day 1 Recap

Peter Boom, Director Rail Asset Management and Digitisation, Royal HaskoningDHV

08:00

Planning, strategy and validation, practical steps for aligning department goals with enterprise-wide digital objectives

Achieving consensus on enterprise-wide digital strategies; insights and actionable methods to align diverse stakeholder

•The challenges of aligning conflicting priorities across departments to create agreed strategic goals •Best practice from rail operators who achieved stakeholder consensus. •Bridging the gap between management and technical teams and fostering collaboration •Actionable methods to overcome resistance to standardisation

Joël Casutt, Head of Operative Asset Management Region West, SBB CFF FFS
Hannah Richta, Head of Algorithms for Operations, DB InfraGO
Urmas Alber, AIM Team Leader, RB Rail AS

08:40

Implementing a phased approach to digital strategy, minimising risks, enhancing Success Rates by Phasing Implementation

•Establishing a clear strategic vision; setting realistic milestones and managing stakeholders’ expectations •Why an incremental approach is often more effective than a big-bang implementation •Prioritising initiatives using feasibility and impact metrics and balancing innovation with resource

Urmas Alber, AIM Team Leader, RB Rail AS

09:10

Building a unified enterprise asset management platform, addressing challenges in legacy system integration and enhancing data quality and governance

Breaking barriers: exploring the challenges and benefits of migrating data from legacy systems to integrated modern platforms

•Challenges of changing data platforms, overcoming silos and ensuring data is consolidated effectively •Benefits of moving to centralised platforms •Creating a single, centralized source of truth •Case studies of successful transitions harnessing data to provide pre-analysis for their field engineers •Integrating GIS asset registers and field service management to optimise inspections

Karolina Ząbek, EMEA Sales Director & Co-owner, Petrosoft.pl Technologie Informatyczne sp. z o.o.

09:40

Morning Networking Break

10:10

LEVARING AI FOR PREDICTIVE MAINTENANCE AND INSPECTIONS, BALANCING GENERATIVE AI VS CLASSICAL MACHINE LEARNING, BUILDING AI AND DATA SCIENCE COMPETENCIES IN RAIL

Building AI for predictive maintenance, inspection, and other data science competencies to identify potential failure before they occur

•Examine how owners are utilising AI to predefine scenarios and optimise inspection processes •Real-world examples of leveraging AI for asset condition measurement •Benefits of integrating predictive maintenance into existing workflows to identify potential issues •Sharing best practices for navigating AI-related compliance requirements

Claire Nicodeme, Engineer & Research Project Manager, SNCF

10:40

Maximise operational efficiency by applying the right AI solutions for specific challenges

•Differences between generative AI and classical machine learning applications, •Adopting machine learning for tasks like image recognition and generative AI applications such as natural language processing for rulebooks •How generative AI, such as digitizing rail rulebooks and creating natural language interfaces are gaining traction in rail •Balancing generative and classical AI for more targeted and effective solutions for rail operations and maintenance

Hannah Richta, Head of Algorithms for Operations, DB InfraGO

11:10

PANEL DISCUSSION

Building AI competence and workforce readiness; practical steps to develop in-house AI capabilities and up skill teams, reducing reliance on external suppliers in rail

•Identifying and addressing rail wear early to minimise downtime and save money •Strategies for incorporating grinding schedules into comprehensive asset management plans. •Case studies of successful integration of grinding solutions with predictive maintenance systems •The role of automated and AI-driven grinding machines in maintenance to reduce interventions

Hannah Richta, Head of Algorithms for Operations, DB InfraGO
Claire Nicodeme, Engineer & Research Project Manager, SNCF

11:40

The Role of Preventive Grinding in Rail Maintenance, Integrating Grinding into Long-Term Maintenance Planning and Leveraging Analytics for Precision Maintenance

Marco Corrandini, Railway Manager Expert, SBB CFF FFS

12:10

Day 2 Closing Remarks

Peter Boom, Director Rail Asset Management and Digitisation, Royal HaskoningDHV

12:15

End of Conference