DevConf.IN 2026

Enabling Data Sovereignty in AI Workflows through Data Mesh Architecture
2026-02-14 , VYAS - 1 - Room#VY124

In the era of globalized AI adoption, data sovereignty has emerged as a critical challenge for both government and industry stakeholders. Regulatory mandates and emerging national data residency laws require organizations to ensure that data remains within prescribed jurisdictions while still enabling innovation and analytics. Traditional centralized architectures conflict with these mandates, forcing organizations to choose between compliance and AI performance. AI-enabled Data Mesh Architecture that allows domain-oriented ownership, federated governance, and localized model training to meet sovereignty requirements without sacrificing scalability.


What level of experience should the audience have to best understand your session?: Advanced - background knowledge and skills required

Jey Paulraj is Chief Architect for Customer-Led Innovation within Red Hat's Global CTO Organization. He leads the design and development of next-generation AI/ML data platforms, leveraging Apache Iceberg and Data Mesh architectures on Kubernetes/OpenShift environments. With a strong focus on scalable, cloud-native solutions, Jey drives innovation at the intersection of data, AI/ML, and enterprise architecture.