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Selected articles
Frustration has always been very high with BI solutions. breaking models and dashboards has always been an issue. It often required to prevent end users to create what ever they wanted for governance sake.
AI is the umbrella term, a field dedicated to creating machines that simulate human intelligence, and Machine Learning?
The AI Trade-Off: Security VS. Performance, How to Choose the Right Strategy
Not All Open Source AI Models Are Created Equal. Building the right AI product requires planning and testing. Picking the wrong ones could cost more than money.
Are you contemplating the idea of building your first AI product for your organization?
Are you a Prompt Engineer? Discover what it is really about.
Are you a Prompt Engineer? Discover what it is really about.
AI is about to disrupt coaching forever. Discover why the future isn't Human or AI — it's Human + AI
Europe can't afford to play catch-up. While others race to 3nm, we should leap directly to 2nm, just like Japan is doing with Rapidus. It’s bold, risky, and exactly what we need. In this article, I argue why Europe should go all-in on 2nm and what it would take to make it happen.
The shift is massive: from coders to conversationists. Anyone in a company will soon be able to build their own AI assistant just by describing what they need. That’s the end of “Analog AI” — and the rise of Distributed Intelligence.
La plupart des entreprises pensent avoir “déployé l’IA” dès lors qu’un outil est disponible.En réalité, la GenAI ne transforme rien par simple présence.Entre l’achat de licences et une véritable transformation opérationnelle, il existe un écart considérable : gouvernance, formation, intégration dans les workflows, tests, pilotage par la valeur.Sur le terrain, je constate un phénomène récurrent : communication ambitieuse au sommet… frustration silencieuse dans les équipes.Dans cet article, j’explique pourquoi la GenAI n’échoue pas, mais pourquoi son déploiement superficiel crée déception et sous-performance; Surtout comment structurer une adoption réellement créatrice de valeur.
“Axel’s expertise in data strategy and cloud transformation was instrumental in our successful migration. His leadership ensured a seamless transition, improved compliance, and empowered our teams to adapt quickly. We saw measurable results in efficiency and data quality within weeks.”
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