National University of Singapore
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National University of Singapore has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries.
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Hyperscaler mix
See whether National University of Singapore's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How National University of Singapore builds AI
Build / Buy / Compose across this company's documented cases
1 of 2 cases classified (50%) · Compare all use-case types
Use case portfolio
Use case types at National University of Singapore
Building management leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Evidence persistence
2 of 2 judgeable cases are still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What National University of Singapore uses across visible cases
7 named technologies are mentioned across 2 cases, led by Azure Digital Twins.
Capability mix
No capability flags are attached to these cases yet.
Technologies mentioned
All Use Cases (2)
National University modernizes campus operations for smarter, sustainable facilities
The National University of Singapore (NUS) undertook an ambitious project to refresh its aging campus infrastructure, which includes 260 buildings with disparate standalone systems...
Samsung enables real-time building management with connected devices
Samsung Electronics and Microsoft partnered to digitally transform property management and building operations using IoT, AI, and cloud technologies. Their global alliance integrates Samsung's smart appliances and devices into Microsoft's Azure-based platforms, including Azure Digital Twins, Azure IoT, Dynamics 365 Field Service, and Microsoft Teams. This offering provides real-time monitoring, predictive maintenance, asset performance optimization, and improved tenant experiences for commercial, residential, and mixed-use properties.In pilot projects, building managers can detect and address equipment failures before they occur, lowering service costs and resource waste. Service technicians can troubleshoot multiple issues per visit, benefitting from the integrated field service tools and remote support capabilities within Teams. Major real estate stakeholders such as Oxford Properties and the National University of Singapore have piloted or endorsed the solution, which can scale from single buildings to large portfolios. The collaboration empowers facilities management and opens new digital possibilities for smart living environments.
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