TLDR : Capgemini extends its partnership with Mistral AI and SAP to facilitate the deployment of generative AI in regulated organizations, using the SAP Business Technology Platform and Mistral AI models. The aim is to meet the needs of sectors such as financial services, public sector, aerospace, defense, and energy, where data security and compliance are crucial.
Table of contents
On May 26, Capgemini announced the expansion of its partnership with Mistral AI, a French unicorn specializing in generative AI, and SAP, a long-term partner and German enterprise management solutions provider. The goal of this collaboration is to facilitate the deployment of GenAI in regulated organizations by leveraging the SAP Business Technology Platform (BTP) and Mistral AI's advanced models.
This initiative aims to meet the specific needs of sectors under high security and data compliance constraints, such as financial services, public sector, aerospace, defense, or energy.
Technological Integration and Data Security
Mistral AI's generative AI models will be integrated into the self-hosted SAP BTP platform. This setup ensures organizations have full control over their execution environments and data sets, while allowing them to benefit from the advanced automation, analytics, and decision-support capabilities of large language models.
The collaboration is part of a responsible AI approach, incorporating governance mechanisms, ethical principles by design, and explicit alignment with current regulations, particularly in terms of data protection.
A Library of Sectoral Use Cases
The partnership also relies on Capgemini's sectoral expertise in developing and implementing industrial-scale AI solutions. The ESN will offer a library of over 50 predefined use cases leveraging Mistral's model capabilities, validated for their business relevance and seamless integration into SAP environments. These use cases are organized by industry and process, with concrete examples:
- Aerospace and Defense: augmented assistance for field technicians in handling non-compliances;
- Energy and Utilities: drone inspection with automated insights generation for predictive maintenance;
- All Sectors: automation of indirect purchasing with optimized supplier selection based on operational criteria.
These solutions aim to enhance operational performance, reduce processing times, and improve service quality in contexts where information systems reliability is critical.
According to Fernando Alvarez, Chief Strategy and Development Officer and member of Capgemini Group's Management Board:
"Companies are increasingly turning to generative AI to enhance their resilience, streamline operations, and accelerate time to value (...). In collaboration with Mistral AI and SAP, we can enable organizations to access a wide range of innovative and customized AI models, generating significant business value and fostering sustainable growth."
Translated from Capgemini, Mistral AI et SAP s’allient pour accélérer l’adoption de la GenAI dans les secteurs réglementés
To better understand
What are the technological specifics of the SAP Business Technology Platform (BTP) that make it relevant for the integration of generative AI?
The SAP Business Technology Platform (BTP) offers a flexible and secure infrastructure that allows for seamless integration of AI solutions. It provides advanced analytics, data management, and automation capabilities that are crucial for fully leveraging generative AI models in complex enterprise environments.
What are the main regulatory challenges associated with the use of generative AI in highly regulated industries?
Regulatory challenges of generative AI include data protection, algorithm transparency, and accountability for automated decisions. Highly regulated industries must ensure that AI implementation complies with sector-specific laws, especially regarding privacy and security regulations.