The AI-Driven Data Universe: Turning Complexity into Strategic Advantage

Singapore’s AI journey has quickly moved from being a future goal to a business necessity for the public sector. With a strong national push to scale AI from small pilots to full production, government agencies are now focused on building powerful, enterprise-grade AI systems to enhance public services, improve citizen outcomes, and strengthen operational efficiency.

The government aims to position Singapore as a global leader in AI innovation by boosting national competitiveness and delivering greater public value. This vision is being realised through strategic investments in expanding the AI workforce and establishing new centres of excellence within the public sector to drive innovation, efficiency, and sustainable growth.

Central to this ambition is the creation of a unified, resilient, and trustworthy government data ecosystem, one capable of supporting advanced computing, enabling skilled public sector talent, and powering Singapore’s AI-driven public services with integrity, security, and reliability.

The Roadblock: Data Fragmentation and Talent Gaps

Many organisations today face an error-prone and fragmented data environment. Data management is often inconsistent, with information captive within specific application stacks and raw data inaccessible to other applications. Governance is applied inconsistently, creating compliance gaps and raising concerns over data quality.

Traditional enterprise storage continues to operate in silos, where capacities and performance in individual arrays cannot be shared, and storage operations remain largely manual and prone to human error. These challenges collectively limit organisational agility, slow decision-making, and hinder the ability to scale advanced analytics and AI initiatives.

Architecting the Enterprise-Grade Data Foundation

The solution lies in adopting the Enterprise Data Cloud (EDC), a unified platform that brings all data together across systems into a seamless, easily accessible environment. This approach ensures that AI and advanced analytics have the reliable, high-quality data they need to deliver accurate insights at scale.

To meet enterprise-grade requirements, the foundation is designed with strong security and resilience, protecting data and maintaining trust.

By building this modern, efficient data core, organisations can unlock the full potential of AI, accelerate innovation, and secure Singapore’s AI-driven future.

This session will allow delegates to:

• Consolidate Infrastructure – unify IT resources to create an agile, efficient, and scalable environment
• Enable Global Data Access – make raw data seamlessly accessible and reusable across systems
• Automate Provisioning and Load Balancing – streamline operations and reduce manual effort
• Power AI and Natural Language Workloads – support advanced AI and Natural Language Processing (NLP) applications across the enterprise
• Implement Global Governance and Policy Protection – enforce security, compliance, and data integrity across all data

• Chief Information Officers
• Chief Data Officers
• Chief Technology Officers
• Directors and Heads of Data/ Storage
• Directors and Heads of IT Infrastructure
• Directors and Heads of Cloud Architecture
• Directors and Heads of Enterprise Architecture
• Directors and Heads of Virtualisation / Data Management / Cloud