In this episode of Product in Data, we explore how product leaders can leverage privacy-preserving technologies to build better, more secure data products. Dive into the practical applications of federated learning and differential privacy - two powerful approaches that are changing how products handle sensitive user data. From keeping healthcare data secure while developing ML models, to building privacy-compliant retail analytics products, we break down how these technologies enable product innovation while maintaining user trust. Perfect for product managers, data leaders, and tech decision-makers who want to understand how to balance powerful data insights with privacy requirements in the age of GDPR and CCPA. Join us to discover how leading companies are implementing these technologies to create competitive advantages while respecting user privacy.