AI is no longer an IT issue. It is becoming a board responsibility.
The five principles published by KPMG International and INSEAD in April 2026 show that artificial intelligence governance is now part of boards' ordinary mandate. By Pascale Caron For several years, artificial intelligence was presented to boards of directors as primarily a technological subject. IT departments, innovation teams, and business units conducted experiments. The board monitored...
AI Crosses a New Medical Frontier: What the Study Published in Science Changes for Entrepreneurs
OpenAI's o1-preview and o1 reasoning models have matched or surpassed physicians on certain experimental clinical reasoning tasks. The breakthrough lies not in replacing practitioners, but in the emergence of assistants capable of intervening at the heart of medical decision-making. By Pascale Caron The Debate on Medical AI is Changing Nature For decades, clinical reasoning has...
After ChatGPT, the Next AI Battle Will Be Over Infrastructure
For two years, companies have focused their efforts on a single question: which artificial intelligence model should we choose? ChatGPT, Gemini, Claude, Mistral… Comparisons have multiplied. Executive teams have evaluated performance, tested conversational assistants, and begun integrating AI into their processes. Yet this question is becoming secondary. The real transformation is no longer solely about...
WWDC 2026: What Business Leaders Should Take Away from Apple’s AI Strategy
By Pascale Caron Each WWDC conference is traditionally presented as an essential event for developers. However, limiting the 2026 edition to a succession of technical announcements would be to miss its main lesson. Apple has not simply unveiled a new version of Siri or enriched its ecosystem with new features. The company has confirmed a...
How to Measure AI ROI?
One of the most frequently asked questions by executives concerns the return on investment of artificial intelligence. Following the excitement generated by ChatGPT and the explosion of generative AI projects in companies, a new requirement has emerged: demonstrating the value created. For several years, organizations have been experimenting. They have tested conversational assistants, automated certain...
10 Lessons Learned from Over 100 Leaders Using AI
Through the EntrepreneurIA project, I had the opportunity to interview over 100 executives and entrepreneurs from very different sectors: industry, healthcare, human resources, finance, tourism, cybersecurity, commerce, services, and digital technologies. Despite this diversity, several findings emerge with remarkable consistency. The first lesson is that the most successful projects rarely start with technology. Leaders who...