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Article overview
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DMOps: Data Management Operation and Recipes | | Eujeong Choi
; Chanjun Park
; | | Date: |
2 Jan 2023 | | Abstract: | Data-centric AI has shed light on the significance of data within the machine
learning (ML) pipeline. Acknowledging its importance, various research and
policies are suggested by academia, industry, and government departments.
Although the capability of utilizing existing data is essential, the capability
to build a dataset has become more important than ever. In consideration of
this trend, we propose a "Data Management Operation and Recipes" that will
guide the industry regardless of the task or domain. In other words, this paper
presents the concept of DMOps derived from real-world experience. By offering a
baseline for building data, we want to help the industry streamline its data
operation optimally. | | Source: | arXiv, 2301.01228 | | Services: | Forum | Review | PDF | Favorites | |
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