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Digital Datasheet model: enhancing value of AI digital platforms
Digital AI platforms/marketplaces play a pivotal role in providing artificial intelligence applications for the manufacturing market. However, existing research on how AI platforms integrate and deploy AI solutions is limited. Additionally, Europe is grappling with the absence of a functional ecosys...
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Published in: | Procedia computer science 2024, Vol.232, p.149-158 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Digital AI platforms/marketplaces play a pivotal role in providing artificial intelligence applications for the manufacturing market. However, existing research on how AI platforms integrate and deploy AI solutions is limited. Additionally, Europe is grappling with the absence of a functional ecosystem capable enhancing the value generated by these AI technologies. This work proposes a digital datasheet model designed to facilitate value exchange among digital AI platforms/marketplaces, module providers, and end-users, enabling a new type of interaction for integrating AI assets, developing adaptable AI systems, meeting customer needs. The applicability is tested with an AI module of the Kitt4sme project. |
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ISSN: | 1877-0509 1877-0509 |
DOI: | 10.1016/j.procs.2024.01.015 |