Abstract
While industrial firms realize the importance of Industry 4.0, many have not yet started implementing the technologies required to harvest the benefits. To enable the adoption of artificial intelligence applications for Industry 4.0 and to address the gap between advances in technologies and their adoption in industry, this article presents a team-based workshop to capture organizational knowledge for identifying relevant artificial intelligence proof-of-value (AI POV) projects based on system engineering knowledge management tools. The aim of this one-day workshop is to identify a potential AI POV within an organization, including its starting point and initial expected savings.
| Original language | English |
|---|---|
| Article number | 9369031 |
| Pages (from-to) | 181-195 |
| Number of pages | 15 |
| Journal | IEEE Engineering Management Review |
| Volume | 49 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Apr 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
!!!Keywords
- Artificial intelligence (AI) application
- Industry 4.0 (I4.0)
- industrial and system engineering
- innovation
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