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Most artificial intelligence projects are still not in “actual combat” yet, which shows that many companies face significant challenges in artificial intelligence applications. One of the most critical challenges is how to obtain high-quality data. In a recent survey report, respondents indicated two major bottlenecks: the lack of skilled employees and the lack of data (or data quality problems). In the research process of artificial intelligence projects, data scientists spend a lot of time collecting and preparing data. Data quality plays a vital role in applying artificial intelligence models.
There's unfortunately not much to read here yet...
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