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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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Semantix Partners delivers actionable intelligence and solutions to IT Sector

Under the leadership of Enio Moraes, DPO and CISO, Semantix leverages AI to further enhance data security and governance capabilities. The company’s continuous improvement in these areas to ensure the protection and growth of the company’s valuable data.

OVERVIEW

Founded in 2010, Semantix has been developing technologies and solutions for data management and intelligence, with projects that include big data, cloud, IoT (the internet of things), and quantum computing. With a presence across South America, Semantix has partnered with the best and most innovative companies in the IT sector.

Leading the digital expansion is Enio Moraes, DPO and CISO of Semantix. With more than 10 years in the IT field working in project management, information security (IS), and privacy management, Moraes joined Semantix to help defend and expand the company’s large databases using artificial intelligence (AI).

"We are already at a very good level of IS and data management, but these are areas where we cannot rest. We must always be improving and increasing."

Enio Moraes - DPO and CISO, Semantix

CHALLENGES

Semantix required greater visibility into their cloud operations and a better method to build and defend applications. With the increasing volume and complexity of operations, these silos led to vulnerabilities and potential security breaches; a critical concern for a data-focused company, especially in the GDPR era.

This led Moraes and his team to search the market for a solution that would bring visibility and actionable intelligence without impacting Semantix’s high performance or harming the dynamics of business operations. “We are already at a very good level of IS and data management, but these are areas where we cannot rest. We must always be improving and increasing”, says Moraes.

WHY TREND

After a meeting with Trend Micro experts, Moraes and his team chose Trend Micro Cloud One – Conformity and Trend Micro – Open Source Security by Snyk. This provided Semantix with a greater clarity to their operations within the cloud—including important data on client location and availability zones—making it possible to design a better cloud strategy for their services and operations.

In addition, Moraes was provided with the ability to prioritize alerts, alleviating alert overload that could hamper his team’s responsiveness to the most critical threats.

SOLUTION

Trend Micro solutions provided immediate results that benefitted day-to-day operations, both in terms of security and risk reduction in the cloud as well as overall cost savings. In addition, Semantix improved operation in its code, guaranteeing a safe development of its applications, both in projects and in products.

RESULTS

With the help of Trend Micro, Semantix now has a 24/7 operations center with a team of more than 30 people. Through Trend Micro’s portfolio, Semantix has bots simulating and performing various tests on all operations and cloud accounts. This means that, when configuration inconsistencies arise or suspicious elements are identified, the team receives an alert and can act proactively and instantly.

WHAT'S NEXT

Due to his positive partnership with Trend Micro, Moraes sees a potential to integrate products used by the Semantix Data Platform with Trend Micro’s 30+ years of security intelligence. “For the future of this partnership, we increasingly need to leverage our product with AI, IS, and code improvement”, says Moraes.

With an increasingly digital and connected future ahead, Semantix is forecasting that their solutions will gain even more relevance and will look to Trend Micro to guarantee safe and consistent operations.

Technologies

Cloud One™ – Conformity Cloud One™– Open Source Security by Snyk

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