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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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Audi builds developer environment with Red Hat OpenShift

Audi AG, part of the Volkswagen (VW) Group, needed to create a stable, scalable environment for innovative development across cloud platforms. Audi decided to use Red Hat OpenShift, an enterprise Kubernetes platform, as the foundation of Kubika-O, its new security-focused runtime environment.

Benefits:

Reduced project time to market by up to six months
Created consistent, managed multi-tenant platform across cloud vendors
Enabling the benefits of cloud-native services and the benefits of DevSecOps across silos

Supporting innovation in an environment of constant change

Audi AG, part of the Volkswagen (VG) Group, is a manufacturer of high-quality automobiles. The company delivered more than 1.6 million cars to 100 countries worldwide in 2020.

To keep pace with evolving business demand and fulfill its mission of leading through technology, the VW Group tasked Audi’s IT team with creating a secure, stable, central environment for innovative development at scale across the group’s many brands. As part of this project, Audi IT sought to reduce risks and remove dependencies with a flexible, modular architecture that could support iterative work.

“The days of ‘plan, build, run’ are over,” said Sebastian Kister, Product Team LeadKubernetes Competence Center, Audi AG. “You can't expect a system to run as-is for ten years anymore. To survive in an environment of constant change, we needed a multi-tenant system with the ability to make small adjustments and updates whenever necessary.”

Adopting Kubernetes with a fully managed platform

Audi decided to work with Red Hat to create a new as-a-Service development environment, called Kubika-O, based on enterprise open source technology. The company chose Red Hat software because it met their strategic goals to take advantage of open source flexibility and scalability while avoiding vendor lock-in.

The software foundation of Kubika-O is Red Hat OpenShift, an enterprise Kubernetes platform for building, automating, scaling, and managing container-based applications. To integrate with its cloud provider, Audi uses Red Hat OpenShift Dedicated on AWS, a managed and supported solution offered natively on Amazon Web Services (AWS) for easier management and billing.

Delivering applications faster with stable, cross-cloud foundation

Reduced time to market

Previously, projects became backlogged due to time-consuming provisioning processes that could require lead times as long as six months. With automation through Red Hat OpenShift, Audi IT can quickly provide tailored Kubernetes clusters and add-ons for each Kubika-O project. As a result, experienced developers and those new to Kubernetes can work more efficiently to create, deliver, and migrate innovative solutions across on-premise and cloud environments.

Created multicloud foundation for innovative new services

Kubika-O supplies Audi’s platforms, applications, and projects with a consistent foundation. This multitenant Kubernetes environment supports several key operational applications, including Audi Open Source Diagnostics, Group Measurement Data Management, and its many internal development and management applications to drive the digital transformation of Audi Group. “Red Hat OpenShift helped us create a secure runtime for our projects and containers with low dependencies,” said Kister.

Improved responsiveness to meet demand

Audi’s teams can now use the modular, responsive container infrastructure and robust automation technology included in Red Hat OpenShift to scale applications using shared resources—without relying on physical infrastructure.

Technologies

Red Hat OpenShift

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