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Approximately 250 Public Institution Officials Attended; Shared Administrative Field Application Cases, No-Code, and Synthetic Data Technologies
SK Telecom (SKT) held a seminar to promote the adoption of AI and big data in the public sector, sharing data analysis technologies and cases applicable to local government operational fields. Various technical directions were presented, from no-code-based task implementation to the use of de-identified and synthetic data.
SKT announced on the 21st that it held 'GranData Public Day 2026' at SKT Tower on Eulji-ro, Jung-gu, Seoul on the 18th.
The event was organized to share practical technologies needed for improving internal operational efficiency and enhancing public services within public institutions. Approximately 250 data managers from government agencies, local governments, public corporations, and other public sector organizations attended.
SKT operates a private data integration business collaboration alliance called 'GranData' together with Shinhan Card, KCB, Kakao Mobility, and SK Broadband.
GranData is a business initiative launched in 2021 by SKT, Shinhan Card, and KCB to support decision-making based on public and private data.
In Part 1 of the seminar, cases of public administration application using AI and big data were introduced.
A method of analyzing visitor data from local government cultural, sports, and tourism events and proposing customized programs reflecting success factors of similar events was discussed.
In the Songpa-gu Office case, the development direction of land owned by local governments, such as donated development land, was analyzed using AI.
This is a case where existing facility usage, demographic characteristics of nearby residents, and location information were comprehensively utilized in reviewing land utilization.
Additionally, a case of a conversational prompt-based public data open portal was also shared.
It is a method where users can directly inquire and analyze disclosed data and check policy information by field through a conversational interface.
In Part 2, the AI technology direction for utilizing public data was presented.
In the Jeonnam-Gwangju Integrated Special City case, an approach was introduced where practical departments such as tourism and transportation utilize telecommunications and card big data according to their authority and procedures using no-code and low-code development.
Through the Busan Metropolitan City case, the application direction of de-identified information and AI-based synthetic data generation technology was also presented.
Technical and operational factors to be considered when safely sharing and utilizing data that requires personal information review were addressed.
Kim Myung-guk, head of SKT Industrial AI, stated, "AI agents utilizing AI such as Aida and GranData's private data are being applied to operational tasks at public institutions," and added, "We will continue to present ways to support data utilization and operational innovation in the public sector."
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