Successful adoption of generative AI in business depends at least as much on training employees at scale as on solving the technical challenges.
This white paper is the result of a major survey we conducted with key AI decision-makers in French institutions and companies, mostly large groups, to draw a precise, realistic picture of how organisations are adopting generative AI, with concrete examples.
We surveyed many players in the field, whom we chose to name explicitly, to provide the most contextualised snapshot possible.
The results are enlightening: a year and a half after ChatGPT appeared, every company surveyed has industrialised generative AI use cases, and 80% of them say that large-scale employee training on generative AI is a priority.
However, the abundance of ideas and the resulting proliferation of applications put genuine short-term economic benefits at risk.
Bringing together many testimonials, this white paper sets out to answer several fundamental questions:
How can we make the best choices of technologies and use cases? Which business needs should come first? What choices should be made between generic and specialised AI, and for core business areas? How can we ensure control, robustness and trust in these new technologies? How can we prepare organisations for the changes in work brought by the deep integration of generative AI into decision-making and operational processes?
We hope this white paper provides clear answers and valuable guidance to help businesses navigate a rapidly changing and, admittedly, incredibly exciting economic landscape.
Interviews with decision-makers from: TotalEnergies, Sodexo, Malt, Safran, Direct Assurance, Crédit Mutuel Arkéa, Giskard, Hugging Face, UM6P, Qwant, Starling Bank, Bpifrance, La Fabrique by CA, Kaukana Ventures and the National Coordination for Artificial Intelligence.
