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

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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.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
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