Belgium 12-6-26 Invitation Only Physical english
AI started small: a few pilots, some dashboards, a couple of chatbots. But then it spread, quickly. Now every department wants a model, every vendor adds “AI-powered” to their pitch, and every regulator is asking about risk and transparency. Governance suddenly went from a nice idea to a full-time job. Scaling governance is harder than launching AI. Policies look great on slides, but in practice, ownership blurs and enforcement stalls. Central control slows things down, while local freedom invites risk. Everyone agrees AI should be safe and ethical, but no one agrees on who signs off when something goes wrong, all leading to AIs living as permanent PoCs. So how do you scale oversight without creating bureaucracy? How do you distribute responsibility between IT, business, and compliance? And what controls actually hold up when AI keeps changing after deployment? Let’s explore how organisations make governance part of daily operations, not an afterthought. A closed conversation for those trying to keep AI credible, compliant, and under control while it spreads across the enterprise.
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Belgium 16-6-26 All Members Physical english
For CIOs and Digital Leaders across Public & Institutional Services, including federal and regional agencies, city administrations, defence, healthcare, social security, and higher education, the gap between ambition and reality is growing. Today, you are caught between two opposing forces: The Sovereignty Squeeze: Heavy pressure from authorities to move away from global public clouds towards "local" solutions, often without a clear plan on how to maintain performance. The Procurement Trap: Strict legal rules that make changing suppliers an administrative nightmare. This leads to "Vendor Lock-in" and "Frankenstein systems" where new tools are awkwardly bolted onto old infrastructure.
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Belgium 18-6-26 Invitation Only Physical english
Becoming event-driven sounds like the logical next step: real-time visibility, faster response, tighter integration. The promise is appealing, no? But turning that vision into reality is another story. Where do you start, with technology, operating model, or mindset? Many soon discover that event-driven design reshapes everything. Data ownership becomes decentralised, monitoring grows complex, and governance feels like chasing a moving target. Scaling up amplifies both the benefits and, if poorly governed, the costs as well. The question then becomes: what is the return on all that investment? Does the model actually reduce cost over time, or simply move it elsewhere? And when does ROI start showing, during scaling or only once operations stabilise? The goal remains clear: systems that react faster, stay reliable, and create measurable value at speed. But the path there is not. Let’s explore what it means to build event-driven architectures, what challenges surface at scale, and what financial outcomes they truly achieve. A closed conversation for those aiming to prove that responsiveness can also be sustainable.
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