To give a meaning to the industrialization of an AI project is to succeed in combining long term stakes (company strategy), short term stakes (professions), and sometimes ethical stakes (which can be expressed in the creation or the training of the algo (facial recognition, bias...). Giving meaning therefore means succeeding in satisfying 3 levels of interlocutors at the same time: the Comex, the business lines, and the individuals that we all are.
To meet this objective, we will illustrate the following topics through 2 use cases: strategic framing / roadmap, algorithmic design, construction of proprietary data solutions and customer experience.
