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    Going beyond the AI hype with a bottom-up holistic approach focused on improving business processes and services

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    CIRED 2019 - 1840.pdf (531.4Kb)
    Paper number
    1840
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
    Show full item record
    Authors
    Sträng, Karl Axel, Enedis, France
    Bouquet, Claude, Enedis, France
    Dupont, Maxime, Enedis, France
    Gosswiller, Stéphane, Enedis, France
    Bavarin, Richard, Enedis, France
    Delaunay, Stéphanie, Enedis, France
    Abstract
    Artificial Intelligence (AI) is a wide-encompassing family of technologies with the potential to revolutionize customer relationships, to improve efficiency of business processes and to improve decision-making tools in all economic fields. Enedis has been developing supervised machine learning algorithms since the 1990s. In the past three years, Enedis has continued to test new AI solutions through a holistic bottom-up approach, resulting in more than 50 Proof of Value (POVs) addressing use cases in key business divisions. The return of experience from the POVs is key in preparing the industrialization of AI solutions and has highlighted limiting factors to the acceleration of uptake of AI solutions.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/600
    http://dx.doi.org/10.34890/824
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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