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Leveraging business...
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Issa Mattos, David,1990Chalmers tekniska högskola,Chalmers University of Technology
(författare)
Leveraging business transformation with machine learning experiments
- Artikel/kapitelEngelska2019
Förlag, utgivningsår, omfång ...
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2019-10-21
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Cham :Springer International Publishing,2019
Nummerbeteckningar
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LIBRIS-ID:oai:research.chalmers.se:8afd82a7-7007-4040-8068-61513a0e34cc
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https://research.chalmers.se/publication/514475URI
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https://doi.org/10.1007/978-3-030-33742-1_15DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-17482URI
Kompletterande språkuppgifter
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:kon swepub-publicationtype
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Ämneskategori:ref swepub-contenttype
Serie
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Lecture Notes in Business Information Processing,1865-1348 ;vol 370
Anmärkningar
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The deployment of production-quality ML solutions, even for simple applications, requires significant software engineering effort. Often, companies do not fully understand the consequences and the business impact of ML-based systems, prior to the development of these systems. To minimize investment risks while evaluating the potential business impact of an ML system, companies can utilize continuous experimentation techniques. Based on action research, we report on the experience of developing and deploying a business-oriented ML-based dynamic pricing system in collaboration with a home shopping e-commerce company using a continuous experimentation (CE) approach. We identified a set of generic challenges in ML development that we present together with tactics and opportunities.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Bosch, Jan,1967Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)janbo
(författare)
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Olsson, Helena HolmströmMalmö universitet,Institutionen för datavetenskap och medieteknik (DVMT)(Swepub:mau)ab2385
(författare)
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Chalmers tekniska högskolaChalmers University of Technology
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Lecture Notes in Business Information ProcessingCham : Springer International Publishing370 LNBIP, s. 183-1911865-13561865-1348
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