Abstract
In this study, we consider the adoption of artificial intelligence (AI) service systems developed in a business domain to other domains. We propose a method to assess whether we can apply an existing AI service system to a different business task. We identify conditions for the adoption of the AI service system, and through experiments, confirm that we can predict whether the example inputs for a new business task can work for the existing system by referring to the conditions without the support of data scientists.
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Acknowledgements
This work was supported by JSPS Grants-in-Aid for Scientific Research (KAKENHI) Grant Number JP19K20416.
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Takeuchi, H., Oyama, Y., Yamamoto, K. (2020). Adoptability Assessment of AI Service Systems. In: Virvou, M., Nakagawa, H., C. Jain, L. (eds) Knowledge-Based Software Engineering: 2020. JCKBSE 2020. Learning and Analytics in Intelligent Systems, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-030-53949-8_8
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DOI: https://doi.org/10.1007/978-3-030-53949-8_8
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