Forvis Mazars × UAE Government | Vivatech Paris 2026

Workshop at a glance

4 Workshop sections

72 Workshop deck slides

40 Strategic intelligence evidence slides

25 Cross-sector evidence profiles

About this workshop

Session context: Friday, June 19, 2026 presentation at Forvis Mazars Paris for Aymen Al Saadi, Chief Digital Officer of The Private Office of H.H. Sheikh Mohamed Bin Zayed Al Nahyan, and Ali Al Khumairi, Director of Procurement. English. Topics requested: infrastructure, architecture, and AI.

The workshop deck opens with executive framing, walks through four sections in order, and closes with strategic intelligence as cross-sector evidence for why semantic infrastructure matters when you scale sovereign AI.

Your workshop agenda

Executive framing for the CDO and procurement perspectives.
Private AI architecture and operating models.
Rapid AI delivery with governance and security built in.
Infrastructure stack, platform engineering, and vendor fit.
Lessons learned from scaling AI across organizations.
Strategic intelligence: semantic spine and cross-sector evidence.

How we'll work together

Open conversation, not a vendor pitch.
Honest sovereignty trade-offs and operating model checklists.
Production patterns only: BOB, ABAC, meta-platform, GAIA.

Confidentiality

Materials are strictly confidential for named recipients.
Hosted on a private dedicated server with password access.
Do not share credentials or forward links externally.

01 Sovereign & Private AI

Sovereign & Private AI

Private AI Architecture & Operating Models

How to architect and operate private AI at scale. Sovereignty as a spectrum (on-prem, colocation, national cloud, dedicated vendor instances), honest assessment of residency and connectivity, GPU operating models, and transparent lessons from our own sovereignty evolution.

Sovereign AI On-prem deployment Air-gapped environments Private inference Data residency Open-source AI stack

Materials

Workshop deck · slides 4-9 Knowledge graph Reference stack brief

02 AI in Government & Public Sector

AI in Government & Public Sector

Jeremy Ravenel brings direct experience from three public-sector research programs. BFO and CCO are already the deployed standard for national security and biomedical ontologies, not theory. His work with NIH illustrates what a production AI agent looks like in government: an agent continuously scanning longevity research to keep physicians and practitioners current. And NCOR is emerging as the semantic audit authority for AI systems in high-assurance environments, playing the role that financial regulators play for firms.

BFO/CCO baseline NCOR governance NIH AI agents Semantic auditability D3FEND/ATT&CK

Materials

Workshop deck · slides 10-15 Knowledge graph ABI delivery patterns brief

03 Data Platforms & Analytics

Data Platforms & Analytics

Infrastructure Stack & Platform Engineering

Your infrastructure stack and platform engineering approach. Meta-platform design, stack anatomy, client-adapted infrastructure, deployment models, and vendor fit analysis. Connects private AI architecture to the platform choices needed to operate it in production.

Platform engineering Infrastructure stack Meta-platform Vendor fit

Materials

Workshop deck · slides 16-23 Knowledge graph

04 Scale lessons & vendor fit

Scale lessons & vendor fit

Scale Lessons & Vendor Fit

Lessons learned from scaling AI initiatives across organizations. What breaks when you move from pilot to production: dedicated instance risks, operating model drift, governance at scale, and the patterns that survive multi-program rollouts. Open discussion on what transfers to high-assurance environments.

Scale lessons Production rollout Operating model drift Dedicated instance risks

Materials

Workshop deck · slides 27-30 Knowledge graph

Cross-sector evidence