Architecting AI Governance: From Experimentation to Scaled Production
Hosted on Luma
Fetched about 3 hours ago
Tuesday, April 28, 2026
to Tuesday, April 28, 2026
Artificial IntelligenceCybersecurityData Science
Event Type
in person
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Quality Score
Quality Score
72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
As enterprises transition from AI experimentation to large-scale deployment, the technical and regulatory requirements for oversight have shifted significantly. This session brings together experts from Nemko Digital, NEC, and Nakatomi to explore how organizations can balance rapid innovation with robust governance. We will examine practical risk-assessment frameworks for scaling AI, the role of open innovation in establishing digital ethics, and how the rigorous security and data classification principles of the defence industry can be translated into actionable strategies for enterprise AI deployment.
Agenda
18:00 Doors open
18:30 - 18:45 Talk 1 - Trusted AI is Scalable AI (Bas Overtoom)
18:45 - 19:00 Talk 2 - Realizing Ethical AI through Open Innovation: From Digital Ethics to AI Governance (Hirohiko Ito)
19:00 - 19:15 Talk 3 - Eyes Only: What Enterprise Leaders Can Learn from How Defence Governs AI (Richard Orman)
19:15 - 20:00 Panel "Bridging the Gap: Implementing AI Governance in Production Environments"
20:00 - 21:00 Networking
21:00 Doors close
Speakers
Talk 1 - Trusted AI is Scalable AI
Speaker: Bas Overtoom (Managing Director, Nemko Digital)
Abstract: As organizations accelerate the adoption of Generative AI, the challenge is no longer experimentation but scaling safely and responsibly. This talk explores how enterprises can design and implement pragmatic risk assessment and control frameworks for AI at scale. Drawing on real client experience, we will cover key risk domains, practical governance approaches, and the trade-offs organizations face when balancing innovation with control. The session will also look ahead at emerging regulatory expectations and what enterprises should prepare for next.
Bio: A strategic leader in technology assurance and regulatory foresight, Bas helps organizations align innovation with compliance in an increasingly complex digital landscape. Based in Amsterdam, where Nemko’s global digital trust headquarters is located, he works with clients across Europe and globally to build trusted approaches to AI, cybersecurity, and emerging technologies. At Nemko, Bas supports organizations in navigating new frontiers in digital trust, AI governance, and cybersecurity. With a strong foundation in Europe, he is also focused on expanding these capabilities internationally, supporting clients as they scale trusted AI and digital solutions across regions, including Asia.
Talk 2 - Realizing Ethical AI through Open Innovation: From Digital Ethics to AI Governance
Speaker: Hirohiko Ito (Industry-Academia-Government Collaboration Coordinator, NEC)
Abstract: At NEC, we view “ethics” not as a constraint, but as a key driver for accelerating innovation. Under the concept of Digital Ethics, we engage with diverse stakeholders to explore the responsible use of digital technologies, including AI, and actively share the outcomes of these dialogues with society.
In this presentation, I will introduce NEC’s approach to AI technologies and governance frameworks, as well as how we have expanded the concept of Digital Ethics through open innovation with academia, government, and international partners. Through this example, the talk highlights how discussions on Digital Ethics can gradually inform governance practices and policy-related thinking in real-world contexts.
Talk 3 - Eyes Only: What Enterprise Leaders Can Learn from How Defence Governs AI
Speaker: Richard Orman (Founder & CEO, Nakatomi)
Abstract: Every enterprise leader deploying AI faces the same uncomfortable question: What happens to our sensitive data? The US defence industry has been grappling with that question at far higher stakes — and far longer — than the rest of us. Rather than slowing down, defence has found ways to move forward: building trust frameworks, governance structures, and procurement standards that let AI deliver real value without compromising sensitive information. The result is a set of hard-won principles that translate directly to the enterprise — regardless of your industry or technical maturity.
Operations12/15
Why this score
Strong organiser track record
Returning event
Well-sponsored
Missing data
Prize details
Code of conduct
Architecting AI Governance: From Experimentation to Scaled Production | Hackathon Radar