Overcoming Data Scarcity and Privacy Challenges with Synthetic

Description

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.

Overcoming Data Scarcity and Privacy Challenges with Synthetic

Nicolas Landier (@landier) / X

Overcoming Data Scarcity and Privacy Challenges with Synthetic

A Copy Worth More Than the Original?

Dawn Li posted on LinkedIn

December 26, 2020

A Copy Worth More Than the Original?

December 26, 2020

Nicolas Landier (@landier) / X

Dawn Li's Instagram, Twitter & Facebook on IDCrawl

Data Analytics - InfoQ

Nicolas Landier (@landier) / X

Dawn Li's InfoQ Profile

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