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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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US Healthcare Provider improves Data Security in the Cloud

Improves Data Security in the Cloud

OVERVIEW

An independent healthcare technology company operates the largest financial and administrative information exchange in the United States. This company collaborates with payers and providers to apply innovative data, as well as analytics solutions and services, to help improve clinical decision-making, simplify billing, collection, and payment processes—and enable a better patient experience. The company relies on Trend Micro to help protect sensitive healthcare information and ensure compliance.

CHALLENGES

The company’s innovative technology team uses large volumes of sensitive data in an AWS environment. The team needed to enforce specific security policies, as well as governance and compliance, with stringent healthcare regulations such as the Health Insurance Portability and Accountability Act (HIPAA). The team also needed to simplify configuration and deployment of internal security rules, such as encryption. This enables them to adopt additional cloud capabilities while maintaining compliance.

SOLUTION

After researching the available options, the team chose Trend Micro Cloud One - Conformity to strengthen their security portfolio in the cloud, enhance visibility and control over their sensitive assets, and automate compliance with regulations. Conformity is supported by its knowledge base, which uses over 600 step-by-step rules based on the AWS Well-Architected Framework. This allows the company to ensure that configuration and compliance requirements are maintained as they scale workloads and increase their commitment to cloud infrastructure. Conformity also provides the team with complete visibility into their security environment via a single pane of glass and provides actionable insights to help them respond to any incidents.

RESULTS

Now, the team can simplify the configuration and deployment of internal security rules and centrally manage and monitor the misconfiguration of cloud resources. Conformity automates the company’s compliance with healthcare regulations, providing continuous checks to ensure their security posture is upheld without the need for manual tasks or upkeep. This ensures that the healthcare provider’s infrastructure is configured and deployed securely from end to end.

Conformity allows the healthcare team to adopt new AWS services quickly and confidently while maintaining compliance and security protection for sensitive data.

Technologies

Cloud One™ – Conformity Trend Micro Cloud One

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