What challenges did National Library Board face before AI implementation?

Create a personalized national exhibition experience for millions of citizens instead of a single static narrative. Deliver real-time personalized video, audio, and face-fusion aging models with ultra-low latency. Meet strict data-residency requirements for sensitive public-sector biometric processing.

What was the impact of the AI solution?

The experience delivered a 90-minute citizen journey with real-time personalized storytelling, personalized videos, and conversational engagement. Local processing improved privacy and security for biometric and other sensitive data. The deployment supported immersive public engagement at scale without latency.

Source

GCP

National Library Board (Singapore) uses Gemini in Vertex AI with Gemini-based conversational avatars and face fusion via Google Distributed Cloud Connected

Use case typeDigital twin experienceUpdated 6 days ago

National Library Board and Singapore's Ministry of Digital Development and Information created the SG60 Heart & Soul experience to give citizens personalized stories for Singapore's 60th birthday. The project required real-time generation of high-fidelity video, customized audio, and face-fusion aging models while meeting low-latency and data-residency requirements. Google Distributed Cloud Connected was deployed at the edge and Gemini models in Vertex AI powered the digital concierge and personalized creative content.

Organization: National Library Board
Industry: Public Sector
Location: Singapore
Published: July 2026

Reported outcomes

90 minutes

citizen journey durationTime & speed

Strategic outcomes

Customer experience & trustCreated a personalized national exhibition experienceOther strategic outcomeKept sensitive biometric data localCustomer experience & trustTurned visitors into active participants

Primary read

Use case focus

Showing 2 of 2

1Digital twin experience
2Content generation

Create a personalized national exhibition experience for millions of citizens instead of a single static narrative.
Deliver real-time personalized video, audio, and face-fusion aging models with ultra-low latency.
Meet strict data-residency requirements for sensitive public-sector biometric processing.

NLB worked with Accenture to deploy the region's first Google Distributed Cloud Connected setup.
Google Distributed Cloud Connected brought AI compute to the edge to support zero-lag interaction and local biometric processing.
Gemini models in Vertex AI powered the digital concierge, natural dialogue, and personalized creative generation.

Technologies

Gemini models Gemini in Vertex AI Google Distributed Cloud Connected

The experience delivered a 90-minute citizen journey with real-time personalized storytelling, personalized videos, and conversational engagement.
Local processing improved privacy and security for biometric and other sensitive data.
The deployment supported immersive public engagement at scale without latency.

Architecture

NLB and MDDI deployed the region's first Google Distributed Cloud Connected setup with Accenture support. The edge infrastructure brought AI compute close to users for zero-lag delivery and local processing of biometric data. Gemini models in Vertex AI powered the digital concierge and creative generation. The system orchestrated a large ecosystem of agencies for the SG60 Heart & Soul experience.

Implementation partners1

Accenture

Sources & evidence1

Groundedness: 4/5Type: Customer StoryPublished: Jul 6, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases

Customer evidence