مقالات
ملاحظات حول القرار والحكم والذكاء الاصطناعي في المؤسسة.
مقالات قصيرة عن المصدر الحقيقي لقيمة الذكاء الاصطناعي، وما تحتاجه الشركة لتظل تقرر جيداً وهي توسّع الذكاء. المقالات باللغتين الفرنسية والإنجليزية.
٢ سبتمبر ٢٠٢٦
5 دقائق قراءةThree graphs: a memory of how your company decides
A knowledge graph captures what the company knows. A process graph captures what actually happens. A decision graph captures what was known, what AI recommended, what the human chose, and what followed.
اقرأ٢٤ أغسطس ٢٠٢٦
5 دقائق قراءةLa productivité est un piège. Le vrai enjeu est la migration de la valeur.
Deux dirigeants, deux continents, la même question. Aucun des deux n'a parlé d'IA. Ils ont parlé de ce que leurs clients continueront de payer.
اقرأ٢٤ أغسطس ٢٠٢٦
5 دقائق قراءةProductivity is a trap. The real prize is value migration.
Two CEOs, two continents, the same question. Neither of them talked about AI. They talked about what their customers will still pay for.
اقرأ٢٧ يوليو ٢٠٢٦
2 دقائق قراءةDesign your company for AI, not AI for your company
Digital transformation redesigned workflows. With AI-native companies, the line between what humans decide and what agents decide is starting to move.
اقرأ٢٠ يوليو ٢٠٢٦
5 دقائق قراءةControl debt: every AI agent needs an identity
Companies are deploying agents into existing workflows without redesigning how decisions are made. The gap between the power of the technology and the visibility over its decisions has a name.
اقرأ٢٨ يونيو ٢٠٢٦
3 دقائق قراءةThe Organizational Intelligence Index
We have become very good at measuring AI. Adoption, maturity, ROI, productivity. None of it tells us whether AI is making the organisation smarter.
اقرأ١٥ يونيو ٢٠٢٦
5 دقائق قراءةThe only premium left is judgment
In financial services, the most adopted AI use cases are not the most profitable. The decision-intensive ones are. What clients will keep paying for.
اقرأ١١ مايو ٢٠٢٦
4 دقائق قراءةLà où le raisonnement métier se perd en chemin vers l'IA
Le métier définit le besoin. La transformation le formalise. L'architecture le traduit. Les équipes IA et data le construisent. À chaque passage de relais, une part du raisonnement disparaît.
اقرأ١١ مايو ٢٠٢٦
4 دقائق قراءةWhere business reasoning gets lost on the way to AI
Business defines the need. Transformation formalises it. Architecture translates it. AI and data teams build it. At every handoff, part of the reasoning disappears.
اقرأ١٠ سبتمبر ٢٠٢٥
3 دقائق قراءةTraditional IT is over. The question is how we organize the delivery of business value.
For thirty years the question was how to organize IT. That question is dead. Gartner's enterprise architecture research points to the same shift: business leaders now run ecosystems where people and AI agents work side by side.
اقرأ
مقالات بالفرنسية والإنجليزية بقلم مؤسِّسة AOMEGA.