Anonymize tabular data to meet GDPR privacy requirements

This tutorial demonstrates how to anonymize tabular data using Gretel's synthetic data APIs in order to meet GDPR standards. The process involves setting up a development environment, anonymizing datasets with customizable policies, creating accurate and private synthetic versions of sensitive data, and evaluating the quality of the anonymized data. Synthetic data is used as an alternative to real-world data due to its ability to inherently reduce the likelihood of singling out an individual or inferring information about them. The tutorial uses Gretel's cloud service with the ACTGAN model, which requires a GPU for optimal data accuracy.