What you'll learn

Data driven organisations today are extensively leveraging customer data in data science and analytics environments for secondary purpose processing often falling under more complex privacy controls. This presentation will discuss how automation and risk of re-identification integrated with new privacy-preserving approaches can address privacy compliance while still preserving the analytical value of the data. This leads enterprises to a new era of leveraging automation and state of the art techniques to address privacy compliance.