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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
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
Testing and integrating digital solutions, techniques for validating solutions to ensure user accessibility, achieving ROI with solutions that meet operational needs
•Evaluating functionality, usability, and cost before full-scale implementation.
•Managing the complexity of integrating legacy data systems and platforms ensuring compatibility
•Involving end-users to test and refine solutions to improve adoption.
•Building partnerships with technology suppliers to provide smoother integrations
09:30
Morning Networking Break
10:00
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.
10:30
Linking strategic goals with operational data, empowering maintenance teams with data insight & integrating field service management with asset management
Enhancing maintenance operations through real-time data access, empowering maintenance teams to make informed decisions improving response times
•How are infrastructure owners using handheld devices to improve access to data
•Engaging maintenance teams to understand the value of the data they collect
•Providing field workers with direct access to GIS and IoT data for better situational awareness
•Aligning field operations with enterprise asset management goals
•Ensuring seamless integration between asset management systems and operational workflows
Joanna Parkes, Head of Asset Management, HS1 Limited
Urmas Alber, AIM Team Leader, RB Rail AS
11:00
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
11:00
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
11:30
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
12:00
Afternoon Networking Lunch Break
13:00
The Role of Preventive Grinding in Rail Maintenance, Integrating Grinding into Long-Term Maintenance Planning and Leveraging Analytics for Precision Maintenance
•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
Marco Corrandini, Railway Manager Expert, SBB CFF FFS
14:10
Day 2 Closing Remarks
Peter Boom, Director Rail Asset Management and Digitisation, Royal HaskoningDHV
14:20
End of Conference
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