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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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Porsche Informatik drives user experience with Red Hat OpenShift

Porsche Informatik deploys software rapidly with Red Hat OpenShift. Red Hat OpenShift allows the company to deploy new software more frequently and ensure availability across its connected car process, mobility as a service process, traditional retail process, apps and more. Red Hat partner Dynatrace ensures the end-to-end visibility of performance.

Benefits:

Improved agility to enable a 90% reduction in time-to-market
Enabled DevOps for more frequent deployments
Enhanced scalability for a great customer experience
Gained end-to-end visibility of performance with Dynatrace

Delivering the best customer experience in the automotive industry

Porsche Informatik is part of Porsche Holdings Salzburg, the largest automotive trading company in Europe with a revenue of roughly 22 billion Euros. With 160 solutions in 32 countries on four continents, millions of users depend on its software every day. Porsche Informatik sees itself as a trendsetter and an innovation driver, with 800 specialists shaping the digitalization of the automotive trade.

Porsche Informatik’s open source strategy for tailor-made applications creates a clear competitive advantage. “Software needs cloud infrastructure to be scalable,” said Immitzer. “And with that scalability, we can ensure availability and a great end-user experience. End-user experience is one of the key success factors in the digital era.”

Moreover, one of the biggest promises that Porsche Informatik made to its customers was to reduce the time-to-market by 90%. “We need to be very fast to assemble a connected car process, a mobility as a service process, or a traditional retail process,” said Immitzer. To achieve this, Porsche Informatik decided to migrate from a monolithic environment towards a modular landscape based on containers and Kubernetes in a hybrid cloud architecture.

Driving forward with Red Hat OpenShift, a leading enterprise Kubernetes platform

Porsche Informatik established a private cloud hosted by datacenter provider eww ITandTEL, utilizing Red Hat OpenShift for a Platform-as-a-Service (PaaS) environment. “We bet on the right horse early in deciding to implement Red Hat OpenShift, predicting that Kubernetes would become the de facto standard for Linux container development,” said Christian Köberl, Software Architect at Porsche Informatik. “Red Hat OpenShift is one of the best enterprise solutions when it comes to authorization, authentication, logging, and metrics, among other things.”

With help from eww ITandTEL and a Red Hat Technical Account Manager (TAM), the organization migrated to Red Hat OpenShift running on-premise in its datacenter in just six weeks. The platform now hosts development processes across thousands of containers on 75 nodes, used regularly by more than 350 developers. It orchestrates the end-customer applications, establishing containers so the cloud can access the surrounding systems of the legacy applications.

Porsche Informatik realized that to maintain its market lead, it also needed a fundamentally different approach to performance monitoring and management. After evaluating the market, it selected Red Hat partner Dynatrace because it offered native support for Red Hat OpenShift while providing complete visibility into every layer of the IT environment.

Technologies

Dynatrace Red Hat OpenShift monitoring Red Hat OpenShift

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