The AI Power Struggle: Are You Building Sovereign AI or Renting It?

Powering Sovereign AI Through Trusted Data, Intelligence, Compute and Operational Control AI is rapidly moving from experimentation to strategic, transformative workloads. As AI becomes more critical, organisations need greater control over data, intelligence, compute and systems. Fragmented data and complex infrastructure can hinder secure, scalable AI deployment. Sovereignty is about more than where data resides — it is about control over how AI is built, deployed and operated. The challenge is no longer simply adopting AI; it is creating a sovereign AI foundation that enables organisations to innovate with control, trust and strategic confidence. “Location matters. Control matters more.” -OpenGov Asia The AI Power Struggle: Are You Building Sovereign AI or Renting It? The transition to Sovereign AI is changing how organisations think about the foundations of artificial intelligence. As AI moves into increasingly strategic and transformative workloads, one question matters: Can your technology foundation give you control over the AI you deploy? AI is only as trusted as the data, intelligence, infrastructure and operating environment behind it. Yet fragmented data estates, disconnected systems and complex technology environments can make it difficult to govern what AI can access, how it is deployed and how it operates. For public-sector and highly regulated organisations, the stakes are even higher. Data can span cloud, SaaS, on-premises, mainframe and other environments, while AI initiatives increasingly depend on trusted data being made available to RAG, agents, analytics and models. This is where Sovereign AI becomes critical. Sovereign AI extends beyond data residency. It brings together data sovereignty, intelligence sovereignty, compute sovereignty and operational sovereignty to create an environment where organisations can build, deploy and operate AI with greater control. By bringing these capabilities together, organisations can connect AI intelligence with governed data, AI-ready pipelines, infrastructure and the operational capabilities needed to put AI into practice. For organisations looking to scale AI, the opportunity is not to create another isolated AI environment, but to establish a trusted foundation that can support strategic use cases across the organisation. The opportunity is not simply to keep AI local. It is to create an environment where data, intelligence, compute and operations remain under the right level of control - enabling AI to scale securely and strategically. A sovereign AI foundation enables organisations to govern data by discovering, classifying and contextualising it before it is accessed by AI. It enables trusted intelligence by connecting governed data with AI models, retrieval-augmented generation (RAG) and AI agents, while controlling compute and deployment across on-premises and hybrid environments. It also enables organisations to operate AI across integrated infrastructure, applications and workflows, with governance built into the operating environment. Critical Takeaways: UNDERSTAND the four facets of Sovereign AI: data, intelligence, compute and operational sovereignty. GOVERN data through discovery, classification, contextualisation and responsible access. PREPARE data for AI through governed pipelines that support RAG, agents, analytics, training and inference. CONTROL AI infrastructure across on-premises, hybrid and other deployment environments. IDENTIFY strategic and transformative AI use cases that can deliver measurable organisational value. Who Should Attend: Chief Analytics Officers Chief Data Officers Chief Digital Officers Chief Information Officers Chief Innovation Officers Chief Technology Officers Directors and Heads of Analytics and Information Management Directors and Heads of Data Directors and Heads of Technology Capabilities and Innovation Heads of Data Science Chief AI Officers / Heads of AI / VP Enterprise AI Heads of AI Platform / AI Engineering / Data Platform