Transportation systems are undergoing rapid transformation as agencies and operators adopt digital technologies to improve safety, reliability, efficiency, and long-term resilience. Across planning, design, construction, and operations, tools such as geospatial intelligence, predictive analytics, digital twins, and real-time sensor data are enabling more informed, data-driven decision-making throughout the infrastructure lifecycle.

This session will explore how transportation organizations are integrating advanced digital capabilities to support project delivery, optimize lifecycle investments, and improve network performance for both passenger and freight mobility. The discussion will focus on practical implementation experiences, lessons learned, and the challenges associated with scaling digital innovation across complex, multi-jurisdictional transportation systems.

Discussion Topics

• Use of geospatial intelligence and predictive analytics in transportation planning and operations
• Application of digital twins and real-time monitoring for asset performance, safety, and resilience
• Integration of sensor data, connected vehicles, and infrastructure systems to improve network performance
• Public-private collaboration models supporting digital transformation in transportation
• Barriers to adoption, including interoperability, cost, data integration, and workforce readiness
• Opportunities to scale digital transportation solutions across regional and national networks

This deep dive session focuses on how geospatial technologies, digital twins, and advanced analytics are enabling water utilities to manage resources more sustainably, improve network efficiency, and mitigate operational and climate-related risks. As utilities face increasing pressures from aging infrastructure, population growth, regulatory requirements, and climate variability, digital solutions are becoming essential to modern water management.

The session will explore how water utilities are applying geospatial intelligence, predictive analytics, and real-time monitoring to improve decision-making across planning, operations, and asset management. Discussion will highlight practical implementation experiences, lessons learned, and strategies for scaling digital innovation to support water-secure, climate-adapted, and citizen-centric service delivery.

Discussion Topics

• Predictive analytics and AI for intelligent water demand forecasting and leak detection
• Use of digital twins for watershed modeling, real-time network monitoring, and sewer management
• Role of GeoAI and edge data processing in supporting decentralized water infrastructure insights
• Case studies on resilience planning for droughts, floods, and contamination events
• Breaking data and operational silos through collaboration among utilities, regulators, and technology providers
• Democratizing data access for internal and external stakeholders through immersive visualization and XR-enabled planning

This deep dive session examines how digital technologies and spatial intelligence are reshaping airport and port operations worldwide. As aviation and maritime hubs face increasing demands related to passenger growth, cargo throughput, safety, security, and resilience, geospatial platforms, digital twins, and real-time analytics are becoming essential to managing complex, high-value infrastructure.

The session will explore how airports and ports are applying spatial intelligence to improve passenger flow, cargo logistics, asset lifecycle management, and operational coordination across multimodal transportation networks. Discussion will focus on practical implementation experiences, technical integration challenges, and lessons learned from global gateway infrastructure, highlighting how digital platforms support end-to-end logistics, capacity planning, and resilience for growing trade and travel.

Discussion Topics

• Use of digital twins for cargo management, workforce logistics, and predictive maintenance
• Integration of GeoAI and edge computing for security operations, vessel and flight scheduling, and space utilization
• Lessons learned from global smart airport and smart port initiatives for large gateway infrastructure
• Enhancing training, safety, and emergency preparedness through XR-based simulations
• Real-time visualization and analytics for bird-strike risk, weather disruptions, congestion, and port traffic modeling
• Creating interoperable data ecosystems across customs authorities, shipping lines, airlines, terminal operators, and regulators

Underground infrastructure-including utilities, pipelines, transport tunnels, and fiber networks-is essential to modern cities, yet remains among the most difficult assets to visualize, assess, and manage. Limited visibility into subsurface conditions increases safety risks, drives cost overruns, and complicates coordination across infrastructure owners and public agencies.

This deep dive session examines how digital twins, reality capture, robotics, and GeoAI are transforming the way underground assets are mapped, monitored, and maintained. The discussion will focus on practical approaches for building accurate subsurface models, reducing uncertainty during design and construction, and enabling safer, more resilient underground networks that support smart, future-ready cities.

Discussion Topics

• Reality capture, geophysics, and subsurface digital twins for accurate mapping of buried infrastructure
• AI-driven failure prediction and performance forecasting for water, gas, and telecom pipelines
• Robotics, automation, and autonomous tunneling systems for safer construction, inspection, and maintenance
• Use of sustainable materials, modular construction, and 3D printing for future-ready underground structures
• Regulatory frameworks and cross-sector collaboration for integrated urban subsurface planning
• Reducing project risk and rework through shared data environments, immersive visualization, and XR-enabled planning