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In the following aritcle Qonto data team explains how DVC helped them dealing with production data files such as trained machine learning algorithms and provided a reliable way of versioning those files along the project development: Using DVC to create an efficient version control system for data projects
DVC brought versioning for inputs, intermediate files and algorithm models and this drastically increased productivity by providing a clean framework to manage data in an effortless way to split a project into atomic steps.
To make it more concrete, Quonto illustrated this article with a real project on VAT auto-detection from receipts – it consists in automatically retrieving the value-added tax amount from a receipt document in order to simplify accounting work.
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