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Belgium 10-09-2026 Squad Only Physical english

Building the Infrastructure AI Needs: From computer and data access to scalability, cost control, and operational readiness.

AI is moving from pilots into operational use, and the infrastructure question is becoming more concrete. The challenge is deciding what needs to be built, expanded, controlled, or delayed as usage grows. Three pressure points usually appear first. - Compute capacity requires careful planning: teams need enough GPU, cloud, or specialised processing power, while keeping utilisation and cost under control. - Data movement becomes more demanding: AI needs access to data across systems, with latency, security, integration, and quality managed from the start. - Operational control becomes essential: monitoring, access rights, resilience, cost visibility, and ownership need to scale with usage. The working question is simple: how do we support AI at scale while keeping infrastructure efficient, governed, and financially sustainable? If you are working through these choices, let’s compare approaches with others facing similar constraints.

Belgium 15-09-2026 Squad Only Virtual english

Turning AI Pilots into Daily Workflows: How to move from experimentation to adoption by redesigning work, ownership, controls, and habits.

AI pilots are easier to launch than to embed into daily operations. The challenge is changing how work happens once AI becomes part of decisions, tasks, handovers, and controls. Three pressure points tend to decide whether adoption holds. - Workflow fit matters: AI has to enter the flow of work as part of the process. - Ownership needs to be clear: someone must own the process, the controls, the exceptions, and the outcome. - User trust has to be built: people need to know when to rely on AI, when to challenge it, and when to escalate. The working question is simple: how do we move AI from promising pilots into daily work while keeping clarity, accountability, and risk control? If this is part of your current reality, let’s compare choices, constraints, and lessons learned.

Belgium 17-09-2026 Country Members Physical french

Les Rencontres: CTO: Le Saint Graal?

Pendant longtemps, le TCO donnait une impression de contrôle. On investissait, on amortissait, on optimisait. Les coûts étaient visibles, relativement prévisibles, et structurés autour d’une logique claire entre CAPEX et OPEX. Ce modèle ne suffit plus à expliquer où va réellement l’argent. Aujourd’hui, une part croissante des dépenses IT ne repose plus sur ce que l’on possède, mais sur ce que l’on consomme: des tokens générés par l’IA des agents qui exécutent des actions en continu des outils SaaS qui se multiplient dans les équipes du cloud qui s’adapte en permanence à l’usage Le coût ne disparaît pas, mais il devient plus diffus, plus dynamique, et souvent plus difficile à attribuer, à expliquer, et à maîtriser. C’est là que des approches comme le Technology Business Management, ou TBM, redeviennent particulièrement utiles: non pas comme un exercice de reporting supplémentaire, mais comme un moyen de relier concrètement les dépenses aux services, aux usages, et aux décisions. Et c’est là aussi que la question du “Saint Graal” revient, mais sous une autre forme. Vous vous demandez peut-être: Comment garder de la maîtrise quand la dépense dépend du comportement, des usages, et parfois même de systèmes autonomes ? Comment piloter l’équilibre CAPEX/OPEX quand le cloud, le SaaS et l’IA déplacent progressivement les coûts vers des modèles variables ? Quels coûts restent encore trop souvent hors radar: ressources métier, formation, support, intégration, sécurité, gouvernance ? Et surtout, qu’est-ce qu’un “bon TCO” veut encore dire quand il faut le mettre en regard d’objectifs parfois plus stratégiques, plus longs à mesurer, ou plus difficiles à quantifier: qualité de service, résilience, agilité, expérience utilisateur, capacité d’innovation ? Ce sont précisément ces questions qui seront au cœur de notre rencontre: une discussion ouverte entre pairs, ancrée dans la réalité du terrain, pas pour débattre de modèles idéaux, mais pour comprendre comment chacun tente, concrètement, de mesurer, d’attribuer et de reprendre le contrôle, sans réduire la valeur d’un choix technologique à son seul coût.

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Facilitating Better Business Decisions with Azure

Facq is a Belgian provider of sanitation, heating and renewable energy distribution services for the construction sector. The company wanted to make better decisions based on the right data. To do this, they partnered with element61 and built a business intelligence platform based on Microsoft Azure.

As the IT and Quality Director at Facq, Nicolas Van Caster faced an interesting challenge. He wanted to develop a business insights solution that empowered the company’s point-of-sale (POS) team leaders — without removing any of their accountability to make decisions. In short, he wanted to gather more targeted insights from the data available to these leaders and enable the data-driven mindset that Facq has championed throughout its 140-year history.

To meet this goal — and set his company up for future success — Nicolas partnered with element61, a data analytics provider and Microsoft Advanced Specialization Partner based in Belgium. Together, the companies have developed a business insights tool powered by Microsoft Azure.

We needed a solution that could help our point-of-sale leaders make the right decisions at the right time. Azure and PowerBI facilitates that by bringing the data to where it’s needed in real time.

Nicolas Van Caster: IT and Quality Director - Facq

The need for a practical solution

Facq is a Belgium-based provider of sanitary, heating, and renewable energies distribution for professionals in the construction sector. They operate a B2B model, serving installers and plumbers across the country through 46 points of sale, 16 showrooms, and three warehouses.

Across this significant sales network, one of the biggest challenges was managing stock and inventory at each point of sale.

Up until recently, the company’s POS team leaders would receive monthly reports from the head office with various data points around their inventory levels — and it was up to them to review these reports and make decisions from them. However, there were three primary challenges with this model:

There was too much data. POS team leaders would receive over 100 pages of data, and would have to sift through them all to get a clear picture of what was going on.
The data was (often) too late. As the reports came at the end of every month, there were times where POS team leaders would be told about low inventory levels when it was too late to mitigate the impact on consumers.
The data was not targeted enough. In the 100 pages of data, there was no clear indication as to which data point indicated a problem that needed addressing.

Instead of this fairly unstructured approach, Van Caster and his team realised that they needed a cloud-based solution that could help them deliver more actionable insights — and someone that could help them build it. That’s where element61 and Microsoft Azure came in.

Facilitating data-driven decision making

Together with the team at element61, Facq has developed a business insights platform that empowers their POS team leaders. They started by establishing performance and operational indicators, understanding that while the first helps identify problem areas, the second is key for identifying the potential solution to that problem.

They then built the platform using a modern data platform approach, powered by Azure. At the front-end, users engage with a Microsoft Power BI dashboard that’s easy to use and simple to understand. This was not a one-and-done process. For Van Caster and element61, iteration and collaboration with the end users was key. As such, the build process was made up of various two-week sprints, where they requested feedback and inputs from the POS team leaders and other key stakeholders. This level of collaboration gave these employees a sense of ownership of the product before it was even fully deployed.

Today, POS team leaders have access to a simplified dashboard that surfaces the right data at the right time, giving them the information they need to replenish stock in a proactive manner. Not only does it present problems that need addressing, it also automatically provides the suggested steps needed to remedy those problems. For these employees, the change has given them more ownership and accountability for making decisions that improve how the business operates.

In addition, the company is also seeing benefits at the business level. Now, when competitors don’t have enough inventory, installers and plumbers are turning to Facq, driving up sales and revenue as a result. Plus, each POS is able to be more agile in responding to seasonal fluctuations in demand, which are common in the construction sector. It’s a true testament of how connecting the dots between operational performance and business strategies can deliver true value.

Where Facq goes next

The business insights solution has become an important tool for Facq’s POS team leaders — but the team isn’t stopping there. According to Van Caster, Facq and element61 are currently working on expanding the cloud-based solution for their warehouse teams to show them real-time KPIs in a centralised dashboard. Even further ahead, the team plans to find ways to adopt automation and machine learning capabilities to optimise operations, while still empowering their employees with ownership and accountability.

From the very beginning, element61 showed initiative in wanting to know our business. When we discussed performance and operational indicators, they asked us to show them what that looked like in practice — and that’s the kind of partner we needed for this project. - Nicolas Van Caster: IT and Quality Director Facq

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