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Embracing Technological Advancements in AI, Machine Learning and Mathematical Optimization to Shape Sustainable and Efficient Rail Asset Management Practices


31st Jan -1st Feb 2024, 20 Water Street, Wood Wharf, E14

Day One  RIAMS Summit

9:00 AM

Developing A Holistic Approach to Big Data in Rail, Harnessing Data and AI for Enhanced Rail Reliability, Decision-Making and Safety in Rail

• What are the common challenges in improving digitalization and data management, exploring gaps in digitization, and addressing challenges in storing and retrieving asset information efficiently.
• Transforming Data into Value, examining the process of turning raw data into actionable insights, informed decisions and the potential of AI and machine learning in analysing big data streams
• Addressing the challenge of establishing shared information flows and improving standards for common data use within rail operations and maintenance
• Exploring the economic and operational benefits of investing in data management for reliability improvement, addressing the operational advantages of resilient rail systems under varying conditions.

Peter Boom, Director Rail Asset Management and Digitisation, Royal HaskoningDHV
Jude Carey, Head of Asset Management, Irish Rail
Tim Flower, UK Account Director, KONUX UK LTD
Milind Joshi, Head of asset management strategy & Planning, Network Rail

9:45 AM

Optimising Data Transparency in Rail, What Data Do We Have, Availability of Data and Understanding the Limitations of Your Data

• Comprehending the importance of data transparency in rail operations, developing strategies to improve transparency, data quality and identifying alternative available data sources.
• How are owners confronting the challenges of integrating legacy IT systems and improving the accuracy of manually entered data to build reliable algorithms for rail operations.
• Building trust through transparent data practices, defining the limitations of your data and models to build confidence in models used to improved decision making in rail.

Hannah Richta, Head of Algorithms for Operations, DB Netz AG
Jez Smith, Rail Data Marketplace Lead, Rail Delivery Group

10:30 AM


30 minutes networking break and refreshments in the main networking and exhibition space of the summit.

11:00 AM

Digital Technology – Paradigm Shift in Rail Culture: What Are the Benefits of Establishing a Data-Centric Culture to Enable Operational Decision Making in Rail Using Available Data

• The role of leadership in championing data-driven decision-making, Cultivating a Data-Driven Mindset in Rail Culture
• Importance of Data Quality, Addressing the mindset of data administrators and the significance of data quality for effective decision-making, what step are owners taking to improve data quality in rail operations.
• Connecting data quality to the effectiveness of AI systems, emphasizing that accurate data entry is essential for AI model reliability and highlighting the impact of inaccurate data on decision-making.

Milind Joshi, Head of asset management strategy & Planning, Network Rail
John Nolan, Regional Asset Data Analysis Manager, Network Rail

11:30 AM

How Space Technologies Could Help Digitalize the Railway

• Brief overview on how the rail domain is capable of onboarding new technologies.
• Examples of how Space technologies (satellite services) could support Railways (Satellite Communications, Earth Observation, GNSS-GPS/Galileo…)
• Focus on the latest “use case” (Safe Train Positioning), and how the European Railway stakeholders jointly with Space stakeholders work together to bring out a proposal for a satellite safety of life services applicable to railways (ERTMS).

Stéphane Callet, Head of on-board CCS related innovative projects TECH4RAIL, SNCF

12:00 PM

Advancing Rail Safety and Efficiency Through Digitalization, Explore How Digitization is Improving Workforce Safety, Accident Reduction, Error Reduction, Better Fatigue Management Leading to Productivity Increase in Operations

• Examining the multifaceted impact of digitalization on rail safety, showcasing how technology contributes to workforce safety, accident reduction, and error reduction.
• Productivity and performance gains, discover how digitalization strategies can drive productivity increases, streamlining operations while maintaining a focus on safety protocols.
• Explore the integration of digital tools, such as geofencing and data analytics, to effectively manage fatigue among rail workers, optimizing performance and well-being.

Dylan Edwards, Senior Programme Manager, Network Rail

12:30 PM

Data-driven Rails: A comprehensive Data & Condition Modelling Framework for Network-wide Optimisation of Renewal & Maintenance Strategies for Public Reporting, Long-term Planning & Government Financing Negotiation

Asset information is often stored in disparate databases with operational performance not linked to causal assets and low data quality on fundamental asset properties linked to life-cycle and planning requirements, including size, intervention, unit costs, and lifetime. For evaluation of Asset condition to determine renewal and maintenance requirements for financing, it is crucial to ensure a high Data Quality foundation. The Network condition evaluation framework builds a structured database of Asset condition through prioritisation of data quality on asset parameters linked to life-cycle evaluation, algorithmic rules and processes for comprehensive data quality control and enhancement, and assignment of disparate data sources to causal assets for renewal and maintenance indication. A portfolio Network condition is then evaluated based on asset KPIs aggregated to a Condition grade, generating a foundation for financing scenario modelling, including potential condition deterioration, renewal and maintenance requirements, and public reporting of current Network asset management.

Alison Cowley, Manager – Asset Management, Digitalisation, AFRY Schweiz AG

1:00 PM


1 hour networking break including lunch and refreshments in the main networking and exhibition space of the summit.

2:00 PM

Increasing the Quality of Point Clouds and Understanding Which Asset Information Can Be Modelled


GeoNext will present practical examples of how to increase the quality of a point cloud, the higher the quality of a point cloud, the more detailed information can be extracted. We show how to improve a misalignment of a mobile collected point clouds.

Nico Schaefers, Owner, GeoNext B.V.

2:30 PM

Exploring the Potential and Challenges of Implementing BIM and GIS Technologies to Improve Life Cycle Management, Reliability and Safety in Rail Asset Management

• What is the current industry level of maturity, incorporating digital twin and GIS technologies into rail projects, particularly focusing on advanced stations, route planning, and safety measures.
• Predictive analytics for passenger safety, real-world applications, benefits, and challenges of using digital twins for ensuring passenger safety.
• Rail renewals, potential for digital twins in planning rail asset renewals, examine how digital twins can improve decision-making, predictive maintenance, and optimising the lifecycle of rail assets.
• Integrating artificial intelligence (AI) and machine learning (ML) in conjunction with digital twins in rail asset management, enhancing data analysis, modelling, and prediction to improve decision-making in rail.

Claire Nicodeme, Engineer & Research Project Manager, SNCF
Elena Ciampa, Civil structural Engineer, Asset Management, RFI

3:20 PM


30 minutes networking break and refreshments in the main networking and exhibition space of the summit.

3:50 PM

Using BIM and GIS for Lifecycle Management in the Rail Baltica Infrastructure Project

• Collecting information in the design stage, preparing asset information for the operations phase
• BIM processes, models, drawing, reports, and data drop
• What information do you have and what information is needed to attribute information in BIM models?
• Key attributes to uniquely identify the elements and group data by type numbers.
• Digital information and requirement for construction and handover stages

Urmas Alber, AIM Team Leader, RB Rail AS
Claire Nicodeme, Engineer & Research Project Manager, SNCF

4:20 PM

GIS @ Infrabel: Examining the Wider Benefits from Railway Network Management to Worker Safety

• What is Infrabel responsible for?
• How have we introduced GIS at Infrabel (with the example of the InfraGIS application and its different representations: geographic, schematic & photographic via “RailView”)?
• How can GIS & geolocation be used to ensure worker safety on railway construction sites (presenting examples of some projects under the “Safer-Work” programme)?

Damien Paque, Team Leader Geo Services & Solutions, Infrabel

4:50 PM

Machine Learning and Mathematical Optimization in Rail, Demonstrating the Use Case of Technology, and Innovation in Rail Projects, what are the Potentials Savings in Performance, Maintenance and Renewals Cost?

• Building Complete Models, exploring the ease and challenges of constructing comprehensive models using data-driven approaches, AI, and mathematical optimization to enhance railway operations.
• What is the initial cost associated with AI and Machine learning and what are the expectations on ROI, potentials savings in performance, maintenance, and renewals cost?
• Measuring cost-benefit investing in machine learning or AI, practical approaches to quantify the impact of technology and innovation adoption in rail projects, including AI and machine learning.

Robert Ellison, Principal Engineer, Eastern, Network Rail
Sam Low, Head of Product, One Big Circle

5:20 PM

PANEL DISCUSSION: Collaborative Strategies for Enhanced Digital Asset Management Capabilities, Best Practice Working with Partners, and Suppliers to Optimize Asset Reliability for Small and Large Infrastructure Owners to Reduce Cost in Maintenance

• Discover how collaborative partnerships can revolutionize digital asset management, optimizing data strategies and boosting information capabilities within the constantly evolving data landscape.
• Gain insights into how rail companies are shifting from in-house teams to leveraging specialized external resources, streamlining asset information management while allowing them to focus on core competencies.
• Explore the benefits of internal teams vs dedicated companies for processing sensor data and asset information, enabling efficient decision-making and maintaining data relevance.
• Working with owners to build a robust case for investing in condition monitoring systems, calculating the tangible costs of failures and unreliability, enabling accurate Roi forecasting for the investments in condition monitoring.

Peter Boom, Director Rail Asset Management and Digitisation, Royal HaskoningDHV
Tim Flower, UK Account Director, KONUX UK LTD
Claus Klint, Worldwide Industry Sales Leader, Civil Infrastructure, IBM
Rob Forde, Director of Strategy and Skills, GCRE

5:45 PM


90 minutes drinks reception and canapes in the main networking and exhibition space of the summit.

Who attends our Rail Events

DB Netze
Network Rail
RFI Italy
Irish Rail
Eesti_Raudtee_Logo EVR
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