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  • Issa Mattos, David,1990Chalmers tekniska högskola,Chalmers University of Technology (author)

Leveraging business transformation with machine learning experiments

  • Article/chapterEnglish2019

Publisher, publication year, extent ...

  • 2019-10-21
  • Cham :Springer International Publishing,2019

Numbers

  • LIBRIS-ID:oai:research.chalmers.se:8afd82a7-7007-4040-8068-61513a0e34cc
  • https://research.chalmers.se/publication/514475URI
  • https://doi.org/10.1007/978-3-030-33742-1_15DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-17482URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:kon swepub-publicationtype
  • Subject category:ref swepub-contenttype

Series

  • Lecture Notes in Business Information Processing,1865-1348 ;vol 370

Notes

  • 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.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Bosch, Jan,1967Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)janbo (author)
  • Olsson, Helena HolmströmMalmö universitet,Institutionen för datavetenskap och medieteknik (DVMT)(Swepub:mau)ab2385 (author)
  • Chalmers tekniska högskolaChalmers University of Technology (creator_code:org_t)

Related titles

  • In:Lecture Notes in Business Information ProcessingCham : Springer International Publishing370 LNBIP, s. 183-1911865-13561865-1348

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