Electronics and Telecommunications Trends (전자통신동향분석)

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Trends in Data Management Technology Using Artificial Intelligence

인공지능 기술을 활용한 데이터 관리 기술 동향

  • C.S. Kim ;
  • C.S. Park ;
  • T.W. Lee ;
  • J.Y. Kim
  • 김창수 (스마트데이터연구실) ;
  • 박춘서 (스마트데이터연구실) ;
  • 이태휘 (스마트데이터연구실) ;
  • 김지용 (스마트데이터연구실)
  • Published : 2023.12.01
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Abstract

Recently, artificial intelligence has been in the spotlight across various fields. Artificial intelligence uses massive amounts of data to train machine learning models and performs various tasks using the trained models. For model training, large, high-quality data sets are essential, and database systems have provided such data. Driven by advances in artificial intelligence, attempts are being made to improve various components of database systems using artificial intelligence. Replacing traditional complex algorithm-based database components with their artificial-intelligence-based counterparts can lead to substantial savings of resources and computation time, thereby improving the system performance and efficiency. We analyze trends in the application of artificial intelligence to database systems.

Keywords

Acknowledgement

본 논문은 2023년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임[No. 2021-0-00180, 다양한 산업 분야 활성화 증대를 위한 분산 저장된 대규모 데이터 고속 분석 기술 개발]. 본 논문은 2023년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임[No. 2021-0-00231, 빅데이터 대상의 빠른 질의 처리가 가능한 탐사 데이터 분석 지원 근사질의 DBMS 기술 개발].

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