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.
Rise of synthetic data: The great irony of scarcity in the age of Big Data
Overcoming Data Scarcity and Privacy Challenges with Synthetic Data - InfoQ
Dawn Li's InfoQ Profile
Data Analysis - InfoQ
Challenges in Data Analysis - FasterCapital
Teaching and Learning in Digital Worlds by Publicacions Universitat Rovira i Virgili - Issuu
Navigating Data Scarcity: AI's Emerging Role in Biotech
Unlocking Innovation with Synthetic Data: A Solution for Data-Driven Organizations
Unlocking Innovation with Synthetic Data: A Solution for Data-Driven Organizations