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(Prerna Singh) Artificial intelligence (AI) relies on data and algorithms. Researchers continuously develop state-of-the-art (SOTA) AI algorithms to improve the performance of the AI system. But model-centric approaches are limited in the absence of quality data. Data-centric AI is an emerging approach towards solving machine learning (ML) problems. It is a collection of various data manipulation techniques that allow ML practitioners to systematically improve the quality of the data used in an ML pipeline. However, data-centric AI approaches are not well documented. Researchers/data practitioners develop various data experiments without any clear set of guidelines. https://pretalx.com/kiwipycon-2021/ta... kiwipycon kiwipyconxi kiwipycon22 kiwipycon2022 pycon python Kiwi PyCon is an annual conference aimed at promoting and educating people about the Python programming language. Licensed as CC BY-NC-SA - http://creativecommons.org/licenses/b... Produced by Next Day Video Australia: https://nextdayvideo.com.au Sat Aug 20 15:20:00 2022 at Rutherford’s Den Lecture Theatre