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

GCPScaled productionEvidence: Medium65/100

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 Jul 6, 2026

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

Citizen journey duration: 90 minutes

Time & speed

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Citizen journey duration: 90 minutes

Google Cloud Customer StoryJul 6, 2026Customer storyExplicit claimMedium evidence strength

The 90-minute journey began with a conversation

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: National Library Board, Ministry of Digital Development and Information
Provider: GCP
Maturity: Scaled Production
Linked source: Google Cloud Customer Story

The deployment supported immersive public engagement at scale without latency

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Digital twin experience
2Content generation

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.

Sources & evidence1

Evidence: Medium65/100Evidence strength