Challenge
1 —
GenAI has evolved rapidly, particularly in terms of individual adoption. With rapid advances in models, technology, policy and human-centred aspects, the adoption of GenAI is making significant strides
2 —
A supercharged and hyper-evolving ecosystem, with a proliferation of players and announcements/evolutions at all levels of the Tech & Applicative stack, on a monthly or even weekly basis
3 —
Various Group decisions on IT architecture, policies and investments, creating both synergies and constraints that need to be considered when developing the implementation strategy
4 —
A determination not to remain passive and to do more than just 'keeping up
The Key Questions
1 —
Where should efforts be focused, and what is the trade-off between short-term pragmatic gains and longer-term preparations?
2 —
Quel positionnement stratégique adopter concernant l'AI Gen (capabilities, assets technologiques, acculturation, …)
Approach
1 —
Identify the use cases
2 —
Understand the benefits and time-to-value opportunities as well as the challenges and macro requirements for implementing the identified use cases
3 —
Prioriser les différents cas d'usage et shortlister ceux des candidats sur lesquels avancer/lancer des POCs
4 —
Structure the roadmap and specify the strategic vision for Generative AI
Results
1 —
A 6-week project
2 —
+50 use cases identified and qualified in the Customer Marketing Sphere
3 —
4 shortlisted use cases, with their corresponding roadmap
