Data & Artificial Intelligence Strategy

Mission
Strategic Outcomes
Strategic Initiatives

To build comprehensive foundations for a robust AI ecosystem in Brunei Darussalam.

Strategic Principles

Adopt intentionally, temper the hype

Brunei is in a position of strength to explore and adopt technology intentionally as the nation does not typically pioneer/disrupt technological trends as opposed to following it. Technological hype can be side-tracked to explore and adopt high impact use-cases at mitigated risks. With proper control, there will be reduced costs and higher impact with technological adoption vital to ensure Brunei remains prosperous and competitive in the regional and global landscape.

Preserve MIB

Brunei has strong history that informs not just the day-to-day lives but is also a strategic asset to create bridging ideas and a united front. MIB is a stability force within the country that keeps the economy relatively peaceful. This provides a favourable foundation for technological advancement and growth without key concerns.

Stronger with Collaboration

As a small country, Brunei is in a unique position where the culture for collaboration can foster tremendously. Each agency is required to allocate resources efficiently which further drives the need to reduce overlap and duplicate work. Collaboration needs to be tempered with strategy and communications. Left untampered, initiatives can spiral that will require additional effort to be re-aligned in future timeline.

Strategic Outcome

1

Availability of Accessible, High-Quality, Secure & Well-Governed Data Assets

KSM 1

Number of data elements (that comply to national data standards) available by API in public sector

2

Data-Driven and AI-Aware Organisational Culture

KSM 2

Improved Data and AI Maturity in the public sector

3

Human Capital to Support the AI Transformation

KSM 3

Number of public servants trained with data analytics, data science, data engineering or AI

KSM 4

Number of private employees trained with data analytics, data science, data engineering or AI

4

Effective Use & Deployment of Artificial Intelligence

KSM 5

Number of AI supported digital transformation pilot projects started in public sector

KSM 6

Number of AI supported digital transformation pilot projects started in public sector

Strategic Initiatives

Policy, Safety and Security

1.1. Strengthen Data Governance for High Quality Enterprise-level Data Management

  • Development of a Data and AI Matruity framework for public sector
  • Updating the Data Governance and Sharing framework for public sector to increase availability of high-quality data
  • Establishing Enterprise Data Hygiene and Integrity Program for public sector

1.2. Policies and Guidelines for Adoption of Ethical, Trustable AI

  • Continued review and update of AI Governance and Ethics Guidelines
  • Adoption of AI testing frameworks

Infrastructure and Access

2.1. Platforms to Support AI Development and Utilisation

  • Establishment of Sovereign Cloud with AI compute capabilities for public and private sector
  • Develop a Brunei-Based LLM that can be utilized by public and private sector
  • Increase access to High Performance Compute in Academia

2.2. Improving Public Sector Data Capabilities

  • Implementation of Data Analytics as a Service for public sector
  • Updating Government Data Sharing Platform to support improved governance and cross sector analysis

2.3. Secure-by-Design for Data and AI Systems

  • Secure data pipeline implementation
  • Secure AI/ML Development
  • Incident Response playbook for AI system

Awareness and Manpower Development

3.1. Promote Effective Knowledge Management and Distribution on Data and AI Within Agencies

  • Upskill civil servants in public agencies to utilise data and AI tools

3.2. Nurture Industry-Ready Talent to Meet Digital Transformation and Safeguard against AI Disruption

  • BruNAI programme: AI for Society
  • BruNAI programme: School Holiday Bootcamps and coding 101

Research and Innovation

4.1. Maximise Use Cases in Priority Sectors to Drive Digital Transformation

  • Research and Innovation Challenge
  • Digital Policy Co-Creation Labs

4.2. Collaborate with Private Sector for Mutual Growth in Ecosystem for AI Technologies

  • Promote startups focused on data and AI services
  • Hold workshops to promote change management and business transformation
  • Increase Civic Engagement for pain point

International Collaboration

5.1. Leverage International Relationships to Strengthen Cooperation and Knowledge Transfer

  • Signing of MOUs in the deployment of development of AI Technologies
  • Establishment of Centre of Excellence to support the knowledge transfer for AI development