• White Papers
• 04.04.2022 02:56 pm

Fintechs and neobanks do great with innovation but lack robust privacy protection. Traditional banks and financial institutions do great with data privacy and compliance but fall behind on innovation. There is a solution to the dilemma: realistic, privacy-safe synthetic data can be used as a drop-in placement in a wide variety of use cases across banking. From AI and machine learning training to realistic application testing and synthetic data sandboxes for data sharing, synthetic data generators are a mission-critical part of the modern data stack. In this ebook, you will find everything you need to know to get started, including:

• an introduction to AI-generated synthetic data technology

• the most common synthetic data use cases in banking

• best practices from banking industry leaders

• notes for your data science team with the most frequently asked questions and answers.