信息通信技术与政策2026，Vol.52Issue(5)：10-15,6.DOI:10.12267/j.issn.2096-5931.2026.05.002
企业高质量数据集建设运营路径研究
Research on the construction and operation path of enterprise-level high-quality datasets
白玉真 1杨靖世 1袁博 1王思佳 1贾轩 1王思源1
作者信息
- 1. 中国信息通信研究院人工智能研究所,北京 100191
- 折叠
摘要
Abstract
High-quality datasets have become a critical foundation for supporting the development of artificial intelligence and the intelligent transformation of industries.Based on this,the study first analyzes the concept and current development status of high-quality datasets.Secondly,it examines the construction requirements and core issues of different types of datasets.Thirdly,it investigates key stages and pathways in the process of building enterprise-level high-quality datasets,analyzing the construction approaches for high-quality datasets in the healthcare,energy,and industrial sectors.Finally,it explores future development trends of high-quality datasets.关键词
高质量数据集/人工智能/数据工程Key words
high-quality datasets/AI/data engineering分类
管理科学引用本文复制引用
白玉真,杨靖世,袁博,王思佳,贾轩,王思源..企业高质量数据集建设运营路径研究[J].信息通信技术与政策,2026,52(5):10-15,6.
