• 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

• 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.

• 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.

• Understand the current industry level of incorporating digital twin technology 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, digital twins in planning rail asset renewals, examine how digital twin technology can aid in decision-making, predictive maintenance, and optimizing the lifecycle of rail assets.

• What new solutions are owners implementing to improve traffic management system to help dispatchers improve the efficiency of railway transport, enhancing rail efficiency with advanced dispatching?
• Introducing new strategies to enhance dispatcher capabilities to manage train operations seamlessly, navigating the challenges of dynamic train scheduling and rerouting.
• How are owners improving capacity utilization and energy management through optimised dispatching, examining practical approaches and successful use cases from infrastructure-provider collaborations?

• 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.

• Establishing the systems infrastructure to facilitate seamless access to essential information in the digital realm, building shared information flows and improving standards for common data use within rail.
• Understanding the challenges in digitising as a railway operator, managing the people, costs and time investments required to transition to a data-driven environment.
• Centralized vs. distributed implementation, comparing the approach of central functions with the challenges faced by individual route organizations in implementing digitalization initiatives.

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

• 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.

• Exploring AI's potential to solve complex mathematical problems and improve data quality and enhance decision making transparency in rail operations.
• Enhancing track capacity and availability, how are infrastructure owners harnessing ai in traffic planning systems to solve operational hurdles in boosting track capacity and availability.
• What are the practical applications of AI in traffic management and scheduling in rail operations?

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

• How are infrastructure owners transitioning from basic digitization to strategic optimization, focusing on effective asset management within the rail industry.
• Cross-Industry Insights, best practices in successful technology implementations in diverse industries, adapting principles to address rail-specific asset management challenges.
• Moving from understanding the basic principles to achieving tangible financial benefits through technology integration, emphasizing successful implementation.

• 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.

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

2 hour drinks reception and canapes in the main networking and exhibition space of the summit.