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A Holistic Framework for AI Systems in Industrial Applications

Title data

Kaymakci, Can ; Wenninger, Simon ; Sauer, Alexander:
A Holistic Framework for AI Systems in Industrial Applications.
Event: 16. Internationale Tagung Wirtschaftsinformatik , 09.-11.03.2021 , Duisburg/Essen, Germany.
(Conference item: Conference , Paper )

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI IT-gestütztes FinanzmanagementNo information
Projektgruppe WI Künstliche IntelligenzNo information

Abstract in another language

Although several promising use cases for artificial intelligence (AI) for manufacturing companies have been identified, these are not yet widely used. Existing literature covers a variety of frameworks, methods and processes related to AI systems. However, the application of AI systems in manufacturing companies lacks a uniform understanding of components and functionalities as well as a structured process that supports developers and project managers in planning, implementing, and optimizing AI systems. To close this gap, we develop a generic conceptual model of an AI system for the application in manufacturing systems and a four-phase model to guide developers and project managers through the realization of AI systems.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: Manufacturing AI System; Intelligent Agents; Machine Learning
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 17 Dec 2020 08:28
Last Modified: 04 May 2021 05:17
URI: https://eref.uni-bayreuth.de/id/eprint/61190