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.

Overcoming Data Scarcity and Privacy Challenges with Synthetic Data - InfoQ

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

A software engineering perspective on engineering machine learning systems: State of the art and challenges - ScienceDirect

A Copy Worth More Than the Original?

Overcoming Data Scarcity and Privacy Challenges with Synthetic Data - InfoQ

Challenges Faced by Big Data Scientists and How to Overcome Them - IABAC

Artificial data reduces privacy concerns and helps with big data analysis

A Copy Worth More Than the Original?

Data Privacy, Retention and Security Challenges and Opportunities - InfoQ

PDF) Applications of Federated Learning; Taxonomy, Challenges, and Research Trends

5 Common Data Protection Challenges That Businesses Face