Not All Data Is Created Equal: Artificial Intelligence Is No Excuse for Mediocrity
The observation is now shared by data departments, business units, and software vendors: the era of massive accumulation is over. In AI systems, raw data no longer has value in itself. It must be structured, qualified, governed, and situated within a precise context of use. Two converging perspectives demonstrate this: the DQE white paper on...
Tech4Elles and Digital Technology for Young Girls
Tech4Elles (WHAT06): Structuring Mentorship to Open Digital Careers to Young Girls Interview by Pascale Caron On the occasion of Digital Women's Day, organized on April 17 at MonacoTech, the WHAT06 association (Women Hackers Action Tank 06) will highlight one of its flagship projects: Tech4Elles. An initiative designed not as a communication campaign, but as an...
AI and Employment: Between Productivity Promise and Deep Organizational Model Transformation
During the sixth edition of the webinar "North America — Artificial Intelligence" organized by the Foreign Trade Advisors, the tone was set from the opening. "AI will transform work much faster than expected, without us yet knowing whether the net employment balance will be positive or negative." The subject is no longer theoretical. It is...
AI, Cybersecurity and Sovereignty: Why Companies Must Regain Control of Their Data
In Sophia Antipolis, at the heart of the Côte d'Azur's artificial intelligence ecosystem, the MIA hosted an after-work event dedicated to a topic that has become central. How can AI be used without exposing one's company, employees, customers, and sensitive data? Behind this seemingly technical question lies a much broader issue: that of digital governance...