A systematic literature review of machine learning canvases
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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INFORMATIK 2021 - Die 51. Jahrestagung der Gesellschaft fur Informatikin: Computer Science and Sustainability. ed. / Gesellschaft für Informatik e.V. (GI). Bonn: Gesellschaft für Informatik e.V., 2021. p. 1221-1235 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Vol. P-314).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - A systematic literature review of machine learning canvases
AU - Thiée, Lukas-Walter
N1 - Conference code: 51
PY - 2021/10/5
Y1 - 2021/10/5
N2 - The use of machine learning technology is still significantly lower in small and medium sized enterprises than in large enterprises. It seems that there are specific challenges in the implementation of data-driven methods, that hinder SMEs in their adoption. One approach to support the initialization and execution of such methods is the use of boundary objects, e.g., canvases, serving as a visual communication document. As it is not clear which approaches are being pursued in detail and how they are interrelated, in this paper, a systematic literature review is being presented, that identifies and analyzes 18 canvas artifacts. These canvases represent the status quo and they can be grouped into four distinct categories of different foci. The aggregation of the fields and questions provides an essence of canvas contents, to point out gaps and ultimately to expand the canvas approach as well as ML adoption.(Workshop: Künstliche Intelligenz für kleine und mittlere Unternehmen (KI-KMU 2021)
AB - The use of machine learning technology is still significantly lower in small and medium sized enterprises than in large enterprises. It seems that there are specific challenges in the implementation of data-driven methods, that hinder SMEs in their adoption. One approach to support the initialization and execution of such methods is the use of boundary objects, e.g., canvases, serving as a visual communication document. As it is not clear which approaches are being pursued in detail and how they are interrelated, in this paper, a systematic literature review is being presented, that identifies and analyzes 18 canvas artifacts. These canvases represent the status quo and they can be grouped into four distinct categories of different foci. The aggregation of the fields and questions provides an essence of canvas contents, to point out gaps and ultimately to expand the canvas approach as well as ML adoption.(Workshop: Künstliche Intelligenz für kleine und mittlere Unternehmen (KI-KMU 2021)
KW - Informatics
KW - Machine Learning, Canvas
KW - Literature Review
KW - SME
KW - Business informatics
KW - Canvas
KW - Literature Review
KW - Machine Learning
KW - SME
UR - http://www.scopus.com/inward/record.url?scp=85127435035&partnerID=8YFLogxK
U2 - 10.18420/informatik2021-101
DO - 10.18420/informatik2021-101
M3 - Article in conference proceedings
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 1221
EP - 1235
BT - INFORMATIK 2021 - Die 51. Jahrestagung der Gesellschaft fur Informatikin
A2 - Gesellschaft für Informatik e.V. (GI),
PB - Gesellschaft für Informatik e.V.
CY - Bonn
T2 - 51. Jahrestagung der Gesellschaft für Informatik - INFORMATIK 2021
Y2 - 27 September 2021 through 1 October 2021
ER -