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- Sandkuhl, Kurt, 1963-
(författare)
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Putting AI into context - Method support for the introduction of Artificial Intelligence into organizations
- 2019
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Konferensbidrag (refereegranskat)abstract
- Artificial Intelligence (AI) is a technology area creating high expectations in many enterprises when it comes to potential benefits for improving business, automating tasks or facilitating new kinds of services. However, the organizational take-up of "hyped technologies", such as AI, is accompanied by the danger that expectations regarding the benefits of the technology are not realistic which can result in failed innovation projects. This paper investigates expectations of two groups of enterprises from different application domains towards the organizational AI use. The results of the study indicate that often the technology is put into the focus rather than the organizational context which leads to neglecting requirements regarding process integration or data availability. As a consequence, the paper proposes a method component adding to enterprise architecture management, which describes how the organizational context of AI can be determined as support for AI requirements analysis and feasibility studies. The method component is demonstrated in a project aiming at introducing AI into instant payment transactions.
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| 2. |
- Sandkuhl, Kurt, 1963-, et al.
(författare)
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Towards an early warning mechanism for adaptation needs of digital services
- 2019
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Konferensbidrag (refereegranskat)abstract
- In many sectors, the ability to quickly respond to changes in the environment of an enterprise is considered as the key factor to long-term competitiveness. The focus of the paper is on enterprises providing digital services and the need for quick-responsiveness with respect to adapting these services. We investigate the feasibility of an "early warning" mechanism for the need of change in digital services, i.e., to detect events or actions which are likely to cause change requests. Such a warning mechanism is expected to allow for an earlier implementation of changes in comparison to a situation without early warning. The proposed approach to support early discovery of events and quick implementation of actions is based on context computing. Essentially, we propose to capture all factors relevant for quick-responsiveness of an enterprise in a computable context model and trigger organizational actions as soon as a relevant event is detected. One of the conceptual foundations for our work are the identified different aspects that constitute the context of digital service development.
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