Overcoming Data Scarcity and Privacy Challenges with Synthetic Data - InfoQ

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.

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Overcoming Data Scarcity and Privacy Challenges with Synthetic Data - InfoQ

Data Security Challenges: Taking Complexity Out of the Data Security Equation

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Dawn Li's InfoQ Profile

The Synthetic Solution: Overcoming Data Scarcity in Machine Learning, by Harshita Sharma, Accredian