Interview ·
"An industrial company must be able to partly lift the black-box effect of AI models"
Original title, in French: “"Un industriel doit pouvoir lever en partie l’effet de boîte noire des modèles IA"”
- Publication
- Alliancy (France)
- Author
- Dorian Marcellin
- Published on
- 16 October 2026 · read in the page structured data
Summary
Mathilde Mougeot, professor and member of the Teratec Forum scientific committee, explains in this interview how artificial intelligence is now being integrated into industrial design, production, maintenance and deployment, beyond large language models. She discusses the talks expected at the forum: Stellantis is using AI to reinvent numerical simulation, SNCF is exploring it for maintenance and infrastructure management, EDF is seeking to assess the benefits and scaling up, Airbus illustrates the issues of explainability in maintenance, and L-acoustics shares its experience of moving from research to operations. She highlights the challenges of explainability, data uncertainty and the integration of physical knowledge into models, as well as the difficulty of measuring the real gain, for example in software development assistance.
Summary based on the full text of the article.
Read the article on Alliancy →Classification
- Country
- France
- Company size
- Large companies
- Industries
- Industry and manufacturing · Energy, utilities, environment · Transport, logistics, supply chain
- Companies
- L-acoustics (deploys AI), SNCF (deploys AI), Airbus (deploys AI), Stellantis (deploys AI), EDF (deploys AI)
- Keywords
- numerical simulation, predictive maintenance, explainability, black box, high-performance computing, industry
Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Alliancy and its author. Entry translated from French by Claude Sonnet 5.5.