A single-day program built for Caribbean enterprise leadership. The morning sets the boardroom case for sovereign hybrid-cloud architecture. The afternoon puts that architecture into your hands — clusters, containers, GPUs, and a single pane of glass across on-premises and public cloud.
In 2026, generative AI and tightening data-protection regulation have elevated data sovereignty to a board-level strategic imperative. For Caribbean enterprises — banking, insurance, healthcare, government — a public-cloud-only posture creates real jurisdictional risk: who controls your data when workloads run outside your borders? IDC forecasts the sovereign cloud market will reach $259 billion by 2028 at a CAGR of ~20%, driven by regulated industries demanding architectures that keep sensitive workloads under sovereign control (IDC, Sovereign Cloud Market Forecast, 2024).
At the centre sits Data Curation — the AI inferencing Day 0 step as defined by the MYLVW Data Framework. Before a model infers, raw business information must be transformed into structured Data: identified, cleansed, classified, tagged, embedded, and vectorized — then stored behind the firewall in AI-managed, sovereign-controlled storage, governed by the enterprise's own Digitally Savvy Board, not a foreign cloud provider.
The MYLVW Data Framework positions CURATION as the critical bridge between raw knowledge and AI-ready assets — running on Linux + Kubernetes (OpenShift), wrapped in Data Protection: privacy, security, encryption, and key management. Governance layers — Trusteeship, Legislative authority, and Central Bank Regulations — complete the sovereignty ring. Data Monetization follows only when this foundation is in place.
Without curated data pipelines, AI inferencing produces outputs no regulated board, central bank, or trustee can rely on, audit, or monetize. As C. Gröger writes in Communications of the ACM: "There is no AI without data." MIT's Future of Data Initiative confirms that sovereign governance is foundational to enterprise AI strategy; Stanford HAI holds that trustworthy AI requires traceable, institutionally-controlled data lineage. The answer is hybrid: curated assets on-premises under sovereign jurisdiction, public-cloud scale reserved for approved, non-sensitive workloads.
This resolves to one actionable architecture: sovereign, curated data — behind the firewall, governed by a Digitally Savvy Board — is the non-negotiable foundation of enterprise AI in 2026. Curation is not preparatory; it is the work — the Day 0 act of transforming business information into vectorized, sovereign-resident Data that AI can trust. Protected by encryption and anchored in regulation, it makes Data Monetization defensible. A key architecture that holds Inferencing together is Hybrid Cloud, built on Red Hat AI with OpenShift on an IBM platform (LinuxOne, HCI, with Ceph Storage) — and this Briefing & Workshop brings the AI/LLM argument from boardroom to live OpenShift clusters on a single pane of Glass — giving Caribbean IT leaders the clarity and hands-on experience to make Data Curation & Data Sovereignty operational by design.
Sovereignty discussions usually stop at slide decks. This workshop deliberately doesn't. Decision-makers leave with the strategic argument and the architectural pattern that makes it real — on equipment they can actually point to.
A facilitated executive briefing for board-level and C-suite decision-makers. The session translates the Caribbean and Jamaican data-sovereignty conversation into language a CFO, CEO, and CRO can act on — and connects it directly to the LVW Data Curation Framework that anchors the MYLVW Roundtable.
Built around the question every regulated-sector board now faces: where is our data, who controls it, and what does it cost us if we cannot answer either question?
Senior executives in banking, insurance, healthcare, academia, government, and major commercial enterprises across Jamaica and the Caribbean. IT managers with budget authority are encouraged to attend with their executive sponsor.
A working lab demonstrating a sovereign-friendly AI platform end to end. Participants observe — and where possible operate — a live OpenShift AI cluster running the AI Stack with vLLM for model serving, deployed on IBM hyperconverged infrastructure with GPU acceleration, software-defined storage, and federated identity.
The session covers cluster provisioning, container and VM workloads, Ansible-driven orchestration, and a single-pane-of-glass administration view across on-premises and public cloud regions.
IT managers, platform engineers, infrastructure architects, security leads, and data engineering managers responsible for designing or operating regulated-data workloads. Sponsors from Part One who want to see the architecture they just approved are welcome to attend.
Times are indicative and may be adjusted on the day. All sessions include facilitated Q&A.
Part Two is hands-on, not hands-near. The infrastructure below is provisioned for the workshop and available for participants to operate during the technical session.
* Note: The hardware stack at the time of the event may differ from the items listed in the stack above.
Participants will observe and operate the provisioning of OpenShift clusters on hyperconverged infrastructure, including network, storage, and GPU configuration tailored for sovereign workloads.
Build and run containerised workloads, create VMs inside containers, and design hybrid workload patterns that reflect real regulated-sector environments.
Use Ansible to manage and orchestrate containers, clusters, and policy enforcement at scale across two working clusters and multiple environments.
Stand up the OpenShift AI Stack with vLLM model serving, integrate vector databases (PostgreSQL pgvector, MongoDB) and walk through a RAG reference pipeline.
Administer on-premises and public cloud estates from a unified control plane — the operational expression of sovereign hybrid-cloud architecture.
Translate the LVW Data Curation Framework and the boardroom argument from Part One into enforced policy: data residency, audit trails, and access controls.
Limited seats for both Part One and Part Two. Boardroom-only and full-day registrations are available. Hybrid attendance options for participants outside Kingston.
Selecting a session opens the live MYLVW registration site in a new tab. Questions? sales.support@thelvws.com