Technology Pathways
Technology has the power to safeguard our team, streamline the way we work and ensure consistency across our operations. From machine learning programmes that can predict and dynamically react to incidents to improved training and reporting frameworks, this pathway guides us towards a more efficient future.
5.1 Flexible & reliable train planning
5.1.1 Flexible and reliable train planning
- Real-time data integration
- Machine learning predictive maintenance
- Advanced traffic management
- Automated rescheduling
- Optimisation of staff schedules
5.1.2 Rules and data underpinning train planning
- Predictive analytics
- Rule-based decision support systems
- Improved signaller’s user interface
- AI-driven train planning
- Digital twin for capacity utilisation
- Blockchain for supply chain management
- 5G communication infrastructure
Rules and data underpinning train planning
- Machine learning for train planning
- AI-driven predictive maintenance
- Data-sharing and collaboration framework
- Autonomous train operations (capacity)
- Advanced materials
Rules and data underpinning train planning
- Human-machine collaboration
5.2 Real-time operations & decisions
5.2.1 Real-time operations and decisions
- Real-time data integration
- Predictive analytics
- Automated incident detection
- Dynamic rescheduling
5.2.2 More consistent operations
- Real-time incident monitoring
- Automated incident alerting
- Centralised incident management platform
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AI operation
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Smart sensors
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Intelligent traffic management system
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Remote operation centres
More consistent operations
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Predictive maintenance and health monitoring
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Machine learning for incident prediction
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Digital twin incident simulation
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AI-powered decision support
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Autonomous train operations (safety)
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Edge computing
More consistent operations
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Autonomous incident response
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Advanced robotics for maintenance
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Smart infrastructure
- Advanced communication infrastructure
- Quantum computing for optimisation
5.3 Signalling & train control capabilities
5.3.1 Signalling and train control capabilities
- Automatic Train Operation (ATO)
- Distributed antenna systems
- Improved interlocking
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Satellite-based positioning
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Strengthen cybersecurity
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Energy harvesting solutions
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Moving block signalling
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Quantum-safe signalling
- Fully autonomous train operations
- Brain-computer interfaces
5.4 Operational staff development & competency
5.4.1 Operational staff development and competency
- E-learning platforms
- VR training
- Enhanced Learning Management Systems
- Performance monitoring
- Knowledge sharing platforms
- Mobile learning apps
- Simulation training
- AR technology
- Competency assessment systems
- AI-driven personalised learning
- Immersive simulation training
Automation complements our team’s work and protects them from potential harm. By adopting sensors, satellite imaging, and drones to inspect and identify assets remotely, we can enhance safety standards and save time while also benefitting from centralised data management, analytics, and alerts.
6.1 Remote inspection of assets & local environment
Remote inspection of assets and local environment
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Aerial inspection Drones
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Ground-Penetrating Radar
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Remote sensors and IoT devices
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Satellite imaging monitoring
Remote inspection using in-service fleet
- Basic sensors on in-service trains
- Wheel bearing and brake monitoring
- Environmental monitoring
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Remote identification of vehicle related defects
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Machine vision systems
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Data analytics and edge processing
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Infrared thermography
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Acoustic bearing monitoring
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Real-time data transmission
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Machine learning for defect
Non-intrusive testing
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Ultrasonic Testing
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Acoustic emission testing
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Robotic inspection systems
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Advanced remote sensing
Remote inspection using in-service fleet
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Onboard sensor systems
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Edge computing capabilities
- Predictive maintenance algorithms
- Bogie and suspension monitoring
Remote inspection using alternative platform
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Advanced LiDAR
- Advanced smart sensors
- AI-powered image analysis
- Drone swarm technology
Remote identification of vehicle related defects
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Vibration analysis
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Remote Ultrasonic Testing
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Fleet-wide data analytics
Non-intrusive testing
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Eddy Current Testing
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AI-powered image analysis
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Digital twins of railway assets
Remote inspection using alternative platform
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Fully autonomous inspection systems
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Distributed sensor networks
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AR technology
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Drone charging stations
Remote identification of vehicle related defects
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Hyperspectral imaging
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Digital twins of railway infrastructure
Remote inspection using in-service fleet
- AI-powered anomaly detection
- Fully automated inspection trains
Remote inspection using In-service fleet
- Entire railway coverage
6.2 Automated design, compliance & approval
Automated design, compliance and approval
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Building Information Modelling
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Automatic compliance checkers
- Cloud-based platforms
- AI-driven design optimisation
- Automated design software
- Parametric design tools
- Generative design systems
- Digital regulatory frameworks
- Autonomous design platforms
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AI-Enabled Compliance Assurance
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Digital Twins for Simulation
6.3 Automated / mechanised equipment to undertake asset maintenance & installations
Automated / mechanised equipment to undertake asset maintenance and installation
- Remote monitoring systems
- Surveying drones
- Automated vegetation monitoring
- Robotic inspection and surveying
- Automated weed control
- Drones for environmental assessment
- Robotic maintenance and repair systems
- Automated track laying
- Automated material delivery
- Automated clearing and vegetation management
- Automated material handling
- AI-powered infrastructure management
- Advanced robotics for complex repairs
- Autonomous inspection trains
- Fully autonomous construction and maintenance
6.4 Optimisation of rolling stock maintenance / preparation
Optimisation of rolling stock maintenance / preparation
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Centralised data infrastructure
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Automated maintenance alerts
- Predictive maintenance
- Sensors and IoT devices
- AI-driven decision support
- Remote diagnostic tools
- Semi-autonomous maintenance
- Immutable maintenance records
- Fully autonomous maintenance
- Repairs and component replacements automatically.
- Automate the replenishment of spare parts
- Swarm robotics for maintenance
- Self-healing materials using nanotechnology
- Human-machine collaboration models
GPS, cloud storage, machine learning, and the Internet of Things are all technologies with the potential to make tracking, monitoring, and maintaining our assets easier. Equipping our team with wearable tech can keep them safe in every situation while remote condition monitoring can transform our approach to asset management and target responses.
7.1 Location of assets, resource & materials
Location of assets, resource and materials
- GPS technology
- Asset tracking solutions
- Barcoding or QR code
- Centralised asset management
- Mobile data terminals
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IoT sensors
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Location data with geospatial information
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Optimise resource allocation
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Predictive asset tracking
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Telecommunication upgrades
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Blockchain technology
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Advanced geolocation technologies
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5G and beyond
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Edge computing capabilities
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Digital twin simulations
7.2 Effective remote condition monitoring
Effective remote condition monitoring
- Trackside monitoring sensors
- IoT platform for data aggregation
- Automated alerting systems
- Acoustic monitoring
- Machine learning for anomaly detection
- Onboard sensors and telemetry
Remote condition monitoring of fixed assets
- Vibration monitoring
- Temperature sensors
- Ultrasonic Testing systems
- Drones for aerial inspections
- LiDAR scanning
System connectivity for remote condition monitoring
- Wireless sensor networks
- Mobile network connectivity
- Cloud-based storage
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Advanced data analytics
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Broader asset management system
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Fibre optic sensing
Remote condition monitoring of fixed assets
- Geospatial monitoring
- Integrate IoT platform
System connectivity for remote condition monitoring
- 5G infrastructure
- Satellite communication
- Mesh networks
- Distributed data processing
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Wireless sensor networks
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Satellite-based remote sensing
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Digital twins and digital thread
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Fully autonomous inspection trains
System connectivity for remote condition monitoring
- Beyond 5G and 6G
7.3 Predictive & preventative maintenance
Predictive and preventative maintenance
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Data collection systems
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Cloud-based storage solutions
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Machine learning for anomaly detection
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Predictive maintenance models
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Integrate data from multiple sources through APIs
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Prognostic Health Management
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Dynamic scheduling algorithms
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Big data analytics and AI
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Prescriptive maintenance systems
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Autonomous inspection and maintenance
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Advanced optimisation techniques
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Digital twins for predictive maintenance
7.4 Safer, capable and digitally connected workforce
Safer, capable and digitally connected workforce
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Advanced asset management
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Maintenance planning
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Mobile workforce applications
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Wearable safety devices
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Collaborative platforms
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Bio-sensing wearables
Accessible and ergonomic tools and equipment
- Smart toolkits
- Handheld devices
Enhanced hazard / situational awareness
- GPS-based tracking systems
- Proximity sensors
- Audible and visual warning systems
Lone worker tracking
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Access control systems
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Geofencing technology
Enhance workforce competency
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E-learning platforms
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VR-based training simulations
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Mobile learning applications
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Culture of lifelong learning
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Cybersecurity training
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AR technology for interactive training
- IoT-enabled safety sensors
- Digital workforce
- Exoskeleton technology
Accessible and ergonomic tools and equipment
- Wearable AR devices
- Portable Non-Destructive Testing
- Robotic snake or crawler systems
Lone worker tracking
- Centralised tracking platform
Enhanced hazard / situational awareness
- Connected worker platforms
- Intelligent trackside monitoring
- IoT-enabled safety gear
- Smart wearables with biometric monitoring
- Advanced safety analytics
Enhance workforce competency
- Adaptive learning algorithms
- Data analytics to track staff progress
- AI-driven safety systems
- Human-Machine Interface enhancements
- Advanced robotics for hazardous tasks
Accessible and ergonomic tools and equipment
- 3D printing capabilities on-site
Enhanced hazard / situational awareness
- AI-driven hazard prediction
- Autonomous train operation
Lone worker tracking
- Indoor Positioning Systems
- Machine learning for anomaly detection
- Autonomous surveillance drones
Enhance workforce competency
- AI-powered virtual trainers
- Neuroeducation techniques
- Haptic feedback technology in VR training
Accessible and ergonomic tools and equipment
- Nanotechnology tools
- Self-deploying inspection drones
- Collaborative robots (cobots)
Enhance workforce competency
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Simulation-based certification
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Full immersion learning environments
Collecting, sharing, and harnessing data will be integral to the future success of our organisation. Prioritising accuracy, security, and effective storage will keep our data safe while utilising visualisations and collaboration tools will ensure everyone has instant access to the insights they need.
8.1 Data availability & accessibility
Data availability and accessibility
- Data integration platforms
- Application programming interfaces
- Data catalogues
- Cloud-based data platforms
Data management for improved data usability
- Automated data capture
- Structured data storage
- Data quality control
- Metadata management
- Data governance frameworks
Data visualisation
- User-friendly data visualisation
- Data visualisation libraries
- User feedback mechanisms
System fidelity
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Automated data validation
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Data profiling and cleansing
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Data quality certification frameworks
- API platform
- Standardise data formats
- Data sharing ecosystems
- Data query and reporting tools
Data mgmt. for improved data usability
- Big data infrastructure
- Master data management
- Data Mesh architecture
Data visualisation
- AR-based data visualisation
- Personalisation algorithms
System fidelity
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Data quality monitoring
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Machine learning for auto. data cleaning
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Data stewardship programmes
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Culture of cont. data quality improvement
- Advanced data analytics and AI
- Federated data systems
Data management for improved data usability
- Machine learning to automate data preparation
- Data virtualisation
- Contextual data integration
- Predictive data curation
Data visualisation
- AI-driven storytelling
System fidelity
- AI-based data fidelity assurance
Data management for improved data usability
- AI-driven data management
System fidelity
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Neural networks and AI
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Explainable AI techniques
8.2 Enabling novel data exploitation techniques
Enabling novel data exploitation techniques
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Consolidate and integrate data
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Real-time data streaming
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Data governance practices
Data conversion to knowledge and insight
- Data integration platforms
- Real-time data processing
- Data visualisation tools
- Data analytics models for asset performance
Synthetic environment
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Integrate data from various sources
- Static digital twin
- Basic train simulation
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Advanced analytics platforms
- Prescriptive analytics
- Integrate IoT sensors and devices
- Universal data exchange standards
Data conversion to knowledge and insight
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Contextual data integration
- Cognitive decision support
- Data lakes and data hubs
Synthetic environment
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Digital twin to incorporate dynamic elements
- Train simulation module
- Operator interaction with the digital twin
- AI-driven autonomous systems
- Analytics to encompass intermodal transportation data
- AI-based decision support systems
- Augmented intelligence tools
Data conversion to knowledge and insight
- Autonomous decision-making systems
- Intelligence into predictive maintenance
Synthetic environment
- Predictive analytics and AI
- Digital twin to encompass multimodal transportation
- Digital twin to fully integrate
- VR and AR digital twin interfaces
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Cognitive analytics and sentiment analysis
Data conversion to knowledge and insight
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Explainable AI techniques
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Quantum computing for large-scale data analytics
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Continuous learning systems
Synthetic environment
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Autonomous decision-making
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Sentient digital twin
8.3 Digitalisation of assets & core processes
Digitalisation of assets and core processes
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Robotic Process Automation
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Data integration
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Cross-functional collaboration
Digitalisation of asset information
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Inventory of core asset data
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Data standardisation and formats for core asset data
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Digitising existing core asset data
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Data management platform
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Cloud-based storage
Digitalisation of core processes, procedures and requirements
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Map core processes, procedures, and requirements
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Digital collaboration tools
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Mobile applications
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Machine learning data analytics
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Advanced decision support tools
Digitalisation of asset information
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Data validation and quality assurance
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Integrated asset management platform
Digitalisation of core processes, procedures and requirements
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Workflow automation
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Centralised knowledge management
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AI to monitor compliance
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Ethical AI governance
- End-to-end digital business reporting
- Integrate the digital twin
Digitalisation of asset information
- Autonomous monitoring systems
- Edge computing cap. for real-time analytics
Digitalisation of core processes, procedures and requirements
- Machine learning to optimise core processes
- Digital twin simulations of core processes
- Interoperable systems to integrate processes
- VR technology for immersive process training
- Autonomous decision-making
- Explainable AI
- Interoperable digital ecosystem
Digitalisation of core processes, procedures and requirements
- Autonomous process management
8.4 Advanced cyber security
Advanced cyber security
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Comprehensive cybersecurity policy
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Cybersecurity training and certification
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Regular vulnerability assessments
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Security Information and Event Management
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Endpoint protection
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Share cyber threat intelligence
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Network Segmentation
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Advanced threat detection
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Third-party risk management
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Biometric authentication
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Zero Trust architecture
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Automated cybersecurity defence
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Continuous security monitoring
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Data security and privacy
- Quantum-resistant cryptography