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Artificial intelligence is rapidly emerging as a defining force in ASEAN's digital transformation, with AI projected to contribute between 10% and 18% of the region's GDP by 2030. However, this strategic opportunity is unfolding unevenly. The public sector landscape remains highly fragmented across infrastructure, regulatory maturity, and institutional readiness, creating a growing data divide. While leading nations advance their strategies, many agencies struggle with inconsistencies in data accessibility, integration, and governance that limit their ability to scale AI safely and consistently.

When AI outputs cannot be verified, public trust stalls. This whitepaper explores how governments can bridge the operational trust gap. Moving beyond traditional data movement pipelines that trigger data sovereignty concerns, we examine the shift toward a unified active context layer. This [logical semantic layer](https://www.denodo.com/en/solutions/by-capability/universal-semantic-layer) delivers real-time, context-rich, and highly governed data directly to AI systems and teams without requiring data replication. Learn how the Denodo Platform aligns data teams, AI developers, and policy stakeholders on a single foundation, enabling public sector organizations to transition from isolated AI pilots to robust, policy-aligned systems at a national scale.



 

 

 

  

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