The National Data Agency is collaborating with the Organisation for Economic Co-operation and Development (OECD) and the Asian Development Bank (ADB) to discuss innovative global data standards in response to the era of artificial intelligence (AI). The focus is on connecting statistical data, which is managed differently by various countries and institutions, to international standards, enabling AI to accurately understand and utilize this data.
On September 15, the agency announced the opening of the workshop titled 'From Data Standards to Innovation: Strengthening Capabilities Based on SDMx and AI' at the Hotel Naru M Gallery in Seoul. The three-day event, running until September 17, has attracted over 80 data experts from statistical offices and central banks across 25 countries in the Asia-Pacific region.
Participants will discuss the evolving methods of data production, management, and utilization in light of advancements in AI technology, as well as the future direction of international data standards. A key focus will be on SDMx, a standardized framework that facilitates the smooth exchange of statistics and data across different systems, and how it can be integrated with AI technology.
On the first day, attendees will engage in practical exercises on standardizing and systematically managing data to enable AI to accurately retrieve statistical information. The second day will feature discussions on how data producers can leverage AI to enhance data quality and streamline production and management processes, along with sharing real-world applications.
The final day will host an 'SDMx+AI Innovation Hackathon,' where participants will develop and demonstrate AI-based data innovation service models using MCP (a universal data connection standard for AI).
In his opening remarks, Lee Myung-ho, Deputy Director of the National Data Agency, stated, "In the age of AI, the competitiveness of data lies not merely in the vast quantity of data but in building 'AI-friendly data' that AI can accurately understand and utilize in context."
He further noted, "The recent paradigm shift in AI competition is moving from the models themselves to a competition for 'good data' that AI can trust and use immediately. I hope this workshop will promote the production and utilization of good data through the integration of data standards and AI, ultimately enhancing the value of both data and AI as they develop together."
The National Data Agency plans to strengthen data cooperation with international organizations such as the OECD and ADB and to continuously pursue statistical and data innovations aligned with the evolving global data standards in the AI era.
* This article has been translated by AI.
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