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 (531.42 KB)

Paper number

1840

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

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.

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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