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Demo - AI Integration & Predictive Maintenance

AI Integration & Predictive Maintenance
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Make data standards and ontologies to fit your business needs rather than the other way around. The Nextspace Knowledge Twin Designer helps organisations create a trusted contextual foundation for AI by connecting assets, data, documents, and systems into a single applied business ontology. Using AI-assisted analysis, the platform guides users through defining business problems, identifying key entities and systems, generating relationships and mappings, and producing an implementation-ready Knowledge Twin that supports analytics, visualisation, and operational decision making. The Nextspace Knowledge Twin Designer helps organisations create a trusted contextual foundation for AI by connecting assets, data, documents, and systems into a single applied business ontology. Using AI-assisted analysis, the platform guides users through defining business problems, identifying key entities and systems, generating relationships and mappings, and producing an implementation-ready Knowledge Twin that supports analytics, visualisation, and operational decision making.
This showcase video presents an airport digital twin bringing together BIM, geospatial data, 3D models, documents, schematics, leasing information, and operational data into a connected, searchable environment. It demonstrates how the platform supports intuitive navigation, synchronized visualisation, automated data linking, AI-assisted interaction through 'Ask Nextspace', report generation, light studies, and integrated maintenance and work planning. The result is a practical digital twin that helps airport teams access, understand, and act on complex asset information more efficiently.
See how Nextspace Alarms and Monitoring connects live alarm events with asset and spatial context to help operators move faster from detection to understanding.