Améliorer les performances et la compétitivité du Groupe Renault
Rodolphe GELIN, AI Lead Expert, Renault Group
« Beyond engineering, the Confiance.ai program first of all enabled all the Renault group’s businesses to formalize the risks that could be posed by the use of AI in critical applications. It then showed that methods and tools existed to control these risks. Its systems approach, applied to industrial use cases, differentiated it quite well from more « component » projects such as the DEEL project, in which Renault is also participating. »
The adoption of AI at Renault, supported by the Confiance.ai program, aims to improve the company’s performance and competitiveness across most of its operations, from engineering to after-sales service, ensuring reliable and efficient applications. The AI@Scale program, enriched by Confiance.ai, enables Renault to deploy AI on an industrial scale, while preparing for the integration of new technologies such as the generation of synthetic images for the validation of driver assistance systems.
AI adoption challenges specific to Renault
The company’s top management sees AI as an opportunity to improve the Renault group’s performance and its competitiveness vis-à-vis its competitors.
Products and services affected by the Confiance.ai program
AI is a cross-functional tool used throughout the Group, from engineering to after-sales service, and even in the vehicle itself. Everywhere, the operation of certain AI applications must be guaranteed with Confiance.ai results.
Confiance.ai’s contribution to the Renault Group’s strategy and challenges
What was undertaken in Confiance.ai provided food for thought when the AI@Scale program was set up, through which Renault organized the industrial scale-up of AI deployment. The company was ready when the first sensitive AI applications appeared.
Competitive advantages developed with Confiance.ai
This has enabled us to save time in dealing with Trustworthy AI issues. And saving time is an essential element in the battle against the competition.
Challenges and conditions for success for the next phase of the Confiance.ai program
Renault has not had the opportunity to implement all that the program has produced. Support beyond the project is needed. And Renault also sees a need to guarantee the smooth running of LLMs.
Example of current or future implementation/deployment
The generation of computer-generated images for the validation of driver assistance systems is a subject that Renault is going to appropriate and integrate into its processes.
Accelerating AI Act compliance with the Confiance.ai program
The Confiance.ai program has enabled Renault to identify tools and methods that would meet certain requirements of the AI Act. All that remains is for the company to deploy these tools to achieve full compliance.
