A Systematic Review on AI Platform for Public Sector 


Vol. 45,  No. 11, pp. 1994-2003, Nov.  2020
10.7840/kics.2020.45.11.1994


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  Abstract

In recent years, ICBM (Internet of Things (IoT), Cloud Computing, Big Data, and Mobile) has developed to a high level, and the artificial intelligence, which is rapidly developing on top of ICBM, is being implemented at a level beyond human capabilities in a variety of fields. In addition, artificial intelligence technology is making remarkable developments based on big data that can learn enormous amounts of data and convert it into meaningful information. This study presents the results of the analysis of the current status and features of AI platforms to enhance AI technology based on data in the public sector, and technical factors for application in the public sector using systematic analysis methods. In particular, the AI platform’s conditions required in the public sector are examined through investigating the components and characteristics of the AI platform at domestic and abroad by conducting systematic analysis research based on thesis and technical documents and public information of the companies. The results of this study will help in establishing and spreading AI platforms in the public sector, and it is also expected to be used in policies and strategies for reducing gaps with advanced countries in the AI sector.

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  Cite this article

[IEEE Style]

C. Yun and J. Kim, "A Systematic Review on AI Platform for Public Sector," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 11, pp. 1994-2003, 2020. DOI: 10.7840/kics.2020.45.11.1994.

[ACM Style]

Chang-Hee Yun and Jaeil Kim. 2020. A Systematic Review on AI Platform for Public Sector. The Journal of Korean Institute of Communications and Information Sciences, 45, 11, (2020), 1994-2003. DOI: 10.7840/kics.2020.45.11.1994.

[KICS Style]

Chang-Hee Yun and Jaeil Kim, "A Systematic Review on AI Platform for Public Sector," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 11, pp. 1994-2003, 11. 2020. (https://doi.org/10.7840/kics.2020.45.11.1994)

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pISSN : 1226 - 4717
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