Is Your Data Stack Sovereign, Adaptive, Future-ready? | Data Enablers Episode 8

Sovereignty now shapes AI architecture. The enterprises that scale will be the ones whose data stack can adapt to residency rules without losing control of their data. In Episode 8 of Data Enablers, Rushikesh Kulkarni, COO at Edgematics Group, and Kyle Jourdan, Head of AI Practice at Qlik, discuss how to make data accessible to AI while keeping control over where it resides, how it is governed, and who can access it, with a focus on the Middle East. In this episode: Sovereignty and residency: accessing data across geographies while respecting local requirements. Data readiness: how fragmented data, inconsistent definitions, and poor-quality limit AI outcomes. Semantic layers: helping AI understand what business terms mean in your organization. MCP: connecting AI assistants to enterprise data and tools across distributed environments. AI in data engineering: pipeline development, data quality, governance, and anomaly detection. From experiments to value: where predictive and generative AI deliver practical quick wins. Chapters: 00:00 - 01:26 Data Sovereignty: The Core Challenge 01:26 - 07:01 Understanding Enterprise AI Adoption 07:01 - 08:48 Why Generative AI Isn't Right for Every Problem 08:48 - 16:05 Data Readiness, Governance and Semantic Context 16:05 - 19:47 MCP: Connecting AI to Enterprise Data 19:47 - 22:02 Unifying and Activating Enterprise Data 22:02 - 27:53 AI in Data Engineering and Building Trustworthy AI They also cover cloud vs. on-premises, customer-facing AI, and why governance matters more as AI adoption scales.