Deploying AI Applications to Multiple Environments: Coping with Environmental, Data, and Predictive Variety

Michael Weber, Maximilian Pfeiler, Andreas Hein, Jörg Weking, Helmut Krcmar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Deploying Artificial Intelligence (AI) proves to be challenging and resource-intensive in practice. To increase the economic value of AI deployments, organizations seek to deploy and reuse AI applications in multiple environments (e.g., different firm branches). This process involves generalizing an existing AI application to a new environment, which is typically not seamlessly possible. Despite its practical relevance, research lacks a thorough understanding of how organizations approach the deployment of AI applications to multiple environments. Therefore, we conduct an explorative multiple-case study with four computer vision projects as part of an ongoing research effort. Our preliminary findings suggest that new environments introduce variety, which is mirrored in the data produced in these environments and the required predictive capabilities. Organizations are found to cope with variety during AI deployment by 1) controlling variety in the environment, 2) capturing variety via data collection, and 3) adapting to variety by adjusting AI models.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems, ICIS 2022
Subtitle of host publication"Digitization for the Next Generation"
PublisherAssociation for Information Systems
ISBN (Electronic)9781713893615
StatePublished - 2022
Event43rd International Conference on Information Systems: Digitization for the Next Generation, ICIS 2022 - Copenhagen, Denmark
Duration: 9 Dec 202214 Dec 2022

Publication series

NameInternational Conference on Information Systems, ICIS 2022: "Digitization for the Next Generation"

Conference

Conference43rd International Conference on Information Systems: Digitization for the Next Generation, ICIS 2022
Country/TerritoryDenmark
CityCopenhagen
Period9/12/2214/12/22

Keywords

  • Artificial intelligence
  • deployment
  • development
  • machine learning

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