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Iris Mandret analyzes the applications of artificial intelligence in industrial decarbonization through technical articles and research published on Substack. The content examines AI implementations in steel manufacturing, carbon capture systems, and process optimization across heavy industries. These analyses specifically address predictive algorithms for energy consumption and complex industrial sustainability solutions. The published work targets professionals and researchers working at the intersection of clean technology and industrial operations. The technical coverage spans machine learning applications, emissions reduction strategies, and systems optimization methodologies for manufacturing environments. The content maintains a focus on verifiable implementations and documented case studies in industrial AI adoption. Mandret's industrial technology analysis is complemented by active participation in cultural spaces, particularly the Rencontres d'Arles photography festival. This integration of technical expertise with cultural engagement informs coverage of sustainability innovation across industrial sectors. The work synthesizes developments in AI-driven manufacturing with broader technological and environmental contexts.