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Du concept à la mise en œuvre du machine learning dans les entreprises: L'expérience de Datapred

Henri Bourdeau, Corentin Petit and Christophe Midler
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Henri Bourdeau: DataPred
Corentin Petit: DataPred
Christophe Midler: CRG I3 - Centre de recherche en gestion i3 - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - Université Paris-Saclay - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique

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Abstract: Artificial Intelligence is the subject of exceptional enthusiasm in the industry, but in practice, there is little concrete data to attest to the conditions and results of its implementation. The PIC Master's project made it possible to experiment with the concrete deployment of a machine learning offer in a leading company in the field of time data processing, Datapred. The lessons learned are threefold. First, the importance of the Proof Of Concept phase in the implementation of these new technologies: a key step in ensuring the credibility of the concrete effectiveness of these technologies for customers, a major step in learning the business issues addressed for data analysis experts. Then, the magnitude of the distance between the promise of a successful POC and the sale of finalized AI software. Due to the complex decision-making processes at large corporate customers as well as the coordination of the work of POC engineers and product developers in the software design company. Finally, the need, in order to cross this distance, to make changes in the strategy and organization of the AI company, changes relating to its software design, the organization of its R&D and its business model.

Keywords: Machine Learning; Proof Of Concept; Digital transition; Growth Strategy; Intelligence articficielle; apprentissage automatique; POC; conception logiciel; stratégie de croissance. (search for similar items in EconPapers)
Date: 2019-06
New Economics Papers: this item is included in nep-big
Note: View the original document on HAL open archive server: https://hal.science/hal-02873935v1
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Published in Les cahiers du Master PIC, 3, 2019, Les POC.. et après ?

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