In this article, the author discusses the importance of using synthetic data in data analytics projects, especially in financial institutions, to solve the problems of data scarcity and more importantly data privacy.
In this article, the author discusses the importance of using synthetic data in data analytics projects, especially in financial institutions, to solve the problems of data scarcity and data privacy.
A Copy Worth More Than the Original?
A Copy Worth More Than the Original?
Data Analysis - InfoQ
December 26, 2020
December 26, 2020
Nicolas Landier (@landier) / X
Nicolas Landier (@landier) / X
Dawn Li's Instagram, Twitter & Facebook on IDCrawl
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Overcoming Data Scarcity and Privacy Challenges with Synthetic
Overcoming Data Scarcity and Privacy Challenges with Synthetic