Enterprises are being forced to reconsider how they manage sensitive data in cloud data warehouses due to data privacy laws and security incidents. In multi-tenant settings, traditional centralized analytics techniques are becoming more and more susceptible, putting businesses at risk for data leaks and regulatory issues.
In this session, we'll look at how federated learning is transforming data warehouse security while preserving analytical capabilities. Attendees will learn how businesses can use safe federated ways that preserve sensitive data while still obtaining insightful information, based on current research in privacy-preserving technologies.