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논문 기본 정보

자료유형
학술저널
저자정보
김원회 ((주)브레인벤쳐스) 김선우 (키바온라인(주)) 김영은 ((주)달공) 이경아 ((주)더플랜지) 이준호 ((주)브레인벤쳐스) 임초록 ((주)브레인벤쳐스) 엄예솔 ((주)브레인벤쳐스)
저널정보
중앙대학교 외국학연구소 외국학연구 외국학연구 제62호
발행연도
2022.12
수록면
169 - 188 (20page)

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Thanks to the development of artificial intelligence technology, new innovations are being made in all fields of industry. The collection and processing of large amounts of data is a prerequisite for this development and innovation of artificial intelligence. The accumulation and processing of data by specific domain, and the construction and completion of artificial intelligence models through the separation of training data and test data are developing as one consistent process. The need for artificial intelligence solutions for small and medium-sized venture companies and small business owners, which account for 95% of business activities in Korea, is rapidly increasing. In line with the needs of the industry, Korea Data Industry Promotion Agency provides a data voucher business to help small and medium-sized venture companies and small business owners conduct business and grow using data. This thesis is an analysis of three results in terms of the domain specific data processing performed by Brain Ventures Co., in the data voucher project ordered by the Korea Data Industry Promotion Agency in 2022. The first data is the data of The PlanG Co.. The PlanG Co.. is an edutech company that has an English education app for children. Currently, this has various service apps such as the Odinga app, meanwhile we applied for the data voucher project to develop a natural English conversation solution between infants and artificial intelligence. The second data is the data of Dalgong Co.. Dalgong is also Edutech Co.. This is a company that aims to develop a solution that automatically analyzes children's learning ability with artificial intelligence and automatically recommends a learning model. The main task of this project was to process data values ​​for cognitive and metacognitive issues to evaluate children's learning ability. Finally, the third data is Kiba Online Co.. data. Kiba Online Co.. is a company specializing in Go education that started as an offline Go academy. This company was a company that wanted to develop a solution that automatically recommends step-by-step notation and training programs by artificial intelligence by converting offline textbooks into data. In this paper, we detail the technologies and processes of data collection and processing of the three companies listed above, and introduce artificial intelligence solutions that can be built based on them.

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