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A business model template for AI solutions

 
: Metelskaia, I.; Ignatyeva, O.; Denef, S.; Samsonowa, T.

:

Moutinho, L. ; Association for Computing Machinery -ACM-:
ICIST 2018, International Conference on Intelligent Science and Technology. Proceedings : London, United Kingdom, 30 June - 2 July, 2018
New York: ACM, 2018 (ACM International Conference Proceedings Series)
ISBN: 978-1-4503-6461-4
pp.35-41
International Conference on Intelligent Science and Technology (ICIST) <2018, London>
English
Conference Paper
Fraunhofer IAO ()

Abstract
In this paper, we present a canvas that describes the building blocks of business models for AI solutions. As startups, spin-offs and existing corporations increasingly transfer AI research and technology into commercial products and services, AI engineers can benefit from focusing and positioning their work within the overall strategy of such ventures. We designed the business model canvas for AI solutions based on existing research, nine cases from secondary sources, as well as five case studies that we conducted ourselves. Our research highlights the most frequently used elements in each block of the business model canvas, such as common characteristics in the value propositions, multi-sided platforms in company segments, automated service in customer relationship, social networks in channels, investors in key partners, R&D in key activities, human resources in key resources and Software-as-a-Service in revenue. We designed the canvas as a tool useful for anybody creating or analyzing AI solutions. On a larger perspective, our study contributes to the existing literature on business model and business model innovation by consolidating existing practices of AI sector and emphasizing on important patterns.

: http://publica.fraunhofer.de/documents/N-581645.html