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 - GI-Edition: Lecture Notes in Informatics (LNI), Proceedings

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 -