Enabling Data Sovereignty in AI Workflows through Data Mesh Architecture

Explore how to implement data sovereignty in AI workflows through a conference talk that addresses the critical challenge of maintaining regulatory compliance while enabling AI innovation. Learn about the conflicts between traditional centralized architectures and emerging national data residency laws that force organizations to choose between compliance and AI performance. Discover how AI-enabled Data Mesh Architecture provides a solution through domain-oriented ownership, federated governance, and localized model training that meets sovereignty requirements without sacrificing scalability. Understand the regulatory mandates and data residency laws affecting both government and industry stakeholders in the era of globalized AI adoption, and gain insights into architectural approaches that enable organizations to maintain data within prescribed jurisdictions while still supporting analytics and innovation initiatives.