AI-Based Information Systems
Peter Buxmann,
Thomas Hess and
Jason Bennett Thatcher
Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)
Abstract:
Artificial intelligence (AI) is about to bring fundamental changes in our society and economy, touching on how organizations make decisions, deliver services, and evaluate opportunities. Given the breadth of their potential reach across companies of different sizes and in different industries, Erik Brynjolfsson and Andrew McAfee of MIT even speak of AI as “the most important general-purpose technology of our era” (Brynjolfsson and McAfee 2017, p. 2). Today, AI applications in most of the cases are based upon machine learning algorithms, whereby supervised learning, in particular, has become established in practice.
Date: 2021-02
Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/149083/
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Published in Business & Information Systems Engineering 1 (2021-02) : pp. 1-4
Downloads: (external link)
https://tuprints.ulb.tu-darmstadt.de/23954
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dar:wpaper:149083
Access Statistics for this paper
More papers in Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL) Contact information at EDIRC.
Bibliographic data for series maintained by Dekanatssekretariat ().