Cloud Computing. Data. AI. Luxury.
Africa ↔ Japan.
データとAIで、ラグジュアリーと公共分野に“実装できる”成果を。アフリカと日本をつなぐ架け橋として。
Dr. Wendkuuni Moïse CONVOLBO (“Momo”) is a Senior Data, AI & Client Development leader in luxury retail and public-interest innovation. At Parfums Christian Dior Japan (LVMH), he has led Data, AI, and client dev teams. A Ph.D. in Computer Science with multiple AI patents, he bridges boardroom vision and hands-on engineering. Beyond luxury, he advises governments and institutions on AI policy, data sovereignty, and education—connecting Africa and Japan through practical, ethical technology. He speaks widely on the “human touch” in AI, responsible innovation, and new talent pathways for youth.
Executive Speaking & Keynotes: AI, Data & Transformation
What themes do you speak about, and how do you tailor content to our audience?
I speak at the intersection of AI governance, data strategy, and Africa–Japan innovation—with practical relevance for business, government, and academia. For example, at MIT I led a session on responsible AI and operating models, translating research into executive playbooks: risk mapping, prompt-policy guardrails, and “human-in-the-loop” design. As an AI keynote speaker, I customize each talk through a short discovery call to align with your strategic priorities (growth, compliance, talent), existing initiatives, and audience fluency. Two takeaways audiences consistently cite: 1) a clear framework to move from pilots to scaled digital transformation, and 2) concrete templates (governance charters, KPI trees) they can adapt the next day. If you’re planning a university symposium, industry summit, or board retreat, I’ll tailor case studies and exercises to your context and timebox. To explore fit and availability, please reach out via the Speaking inquiries contact on my site, and we’ll schedule a brief pre-event alignment.
What impact have your talks had?
My talks are designed to catalyze action. At the Rebranding Africa Forum, I moderated a discussion on AI for competitiveness that prompted organizers to convene a follow-on roundtable with policymakers and founders. That dialogue informed a practical discussion note on data ecosystems and SME enablement, which participants later used to frame pilot collaborations. Across conferences, outcomes commonly include cross-sector introductions, clarified roadmaps for digital transformation, and momentum for executive education. Attendees typically leave with: 1) a shared vocabulary for responsible AI governance (risk tiers, audit trails, success metrics), and 2) a short list of quick wins in data strategy (value cases, minimal viable datasets, and privacy-by-design). I keep the content vendor-neutral, evidence-based, and immediately applicable. If you’d like similar impact for your event or internal kickoff, please send a brief on your goals through the Speaking inquiries contact so we can shape outcomes that matter to your stakeholders.
How can we book you, and what formats do you offer?
I work with organizers from the African Diplomatic Corps, universities, and companies to deliver formats ranging from keynotes (20–45 minutes) and fireside chats to executive workshops (2–4 hours) and policy briefings. I present in English or French, and—when helpful—provide Japanese context for Africa–Japan innovation case studies. Typical logistics: a pre-event planning call, a run-of-show review, and optional breakout exercises for leadership teams. Expect two concrete deliverables: 1) a customized outline aligned to your theme (e.g., AI keynote speaker on governance and data strategy), and 2) post-event resources—framework slides or checklists your audience can reuse. AV needs are standard (projector, lapel mic), and virtual delivery is available. To begin, please share your event date, audience profile, and desired outcomes via the Speaking inquiries contact on my site. I’ll confirm availability and propose a format that fits your objectives and timeline.
