.The advances in data engineering technologies, including big data infrastructure,

knowledge graphs, and mechanism design, will have a long-lasting impact on artificial

intelligence (AI) research and development. This paper introduces data engineering in AI with

a focus on the basic concepts, applications, and emerging frontiers. As a new research field,

most data engineering in AI is yet to be properly defined, and there are abundant problems and

applications to be explored. The primary purpose of this paper is to expose the AI community

to this shining star of data science, stimulate AI researchers to think differently and form a

roadmap of data engineering for AI. Since this is primarily an informal essay rather than an

academic paper, its coverage is limited. The vast majority of the stimulating studies and

ongoing projects are not mentioned in the paper.