The Strategic Blueprint for Sovereign AI - IdoNotes Episode 146
Tags :AI Engage podcast conference
For the modern enterprise, the question is no longer if to adopt Generative AI, but how to do so without sacrificing digital sovereignty or regulatory compliance. With the release of HCL Domino 14.5, HCL introduces a groundbreaking 'Sovereign AI' framework that allows organizations to run Large Language Models (LLMs) entirely within their own infrastructure—behind the firewall or in a trusted private cloud. This session moves beyond the developer’s console to address the CIO and Architect's perspective: how to build an AI strategy that is 'private by design.' We will explore the governance of Domino IQ, the management of private LLMs, and how to leverage Domino’s unique security model to ensure AI respects data permissions. Learn how to meet the requirements of the EU AI Act and other global regulations while achieving a lower TCO than public-cloud AI subscriptions. Learning Objectives:
Risk & Compliance Management: Understand how Domino 14.5 aligns with the EU AI Act and NIS2 by keeping data flows within jurisdictional boundaries and out of public training sets.
Architecting the AI Stack: Evaluate the hardware and infrastructure requirements (GPU vs. CPU) for hosting private LLMs on-premises or via sovereign cloud partners like IONOS.
Inherited Security & Permissions: Discover how Domino IQ uses the platform’s native Access Control Lists (ACLs) to ensure AI responses never leak sensitive information to unauthorized users.
Operational Governance: Master the use of Domino IQ’s auditing tools to monitor AI performance, track usage costs, and maintain a forensic trail of AI-generated content for audit purposes.
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On Thursday, May 7th, 2026 by Chris Miller
