QUESTIONS TO ARTHUR MENSCH, CEO MISTRAL AI
Paving the way to turn open generative AI models into business solutions, the partnership between Mistral AI and Capgemini is a major step towards large scale AI deployment. Arthur Mensch, Mistral AI’s CEO, explains how this collaboration brings together Mistral AI’s powerful and efficient AI models with Capgemini’s industry expertise to improve client operations and drive innovation in a fast-evolving digital world.
What business value are Mistral AI’s generative AI models bringing to Capgemini clients?
Generative AI is changing the world - both in terms of value and speed, with a significant potential across all industries. Mistral AI is building the world’s best, most efficient LLMs, for developers and business all around. Our value proposition offers efficiency at scale, with a broad range of models to power diverse use cases, along with flexibility - the ability to deploy on any infrastructure to satisfy the requirements of each use case - and indepth client-side customization and control. This means that our clients can get full control of their data and set their own guardrails with prompting and, soon, a moderation API.
How will your partnership with Capgemini potentially accelerate the evolution towards more accessible, versatile, and cost-effective generative AI?
Deployment at scale is one of the biggest barriers to widespread adoption of generative AI. Our partnership with Capgemini means forward-thinking organizations of all sizes can implement and customize our compute-efficient, powerful AI models for real world applications. Capgemini brings its unique ability to support generative AI use case implementation end-to-end, from use case scoping to large scale deployment of custom generative AI solutions.
When do you expect to see generative AI become an integral, reliable and sustainable component of the digital ecosystem?
The market is moving fast, with an ever-increasing field of opportunities in all sectors and functions: functions, from software engineering, marketing and communication, through to client experience and knowledge management. 2023 was a year of exploration and structuring, 2024 is going to be the year of scale. We are expecting to see an explosion in the number of generative AI use cases deployed in production, progressively pervading processes, experiences, and products at an accelerated pace.
