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Titlebook: Embedding Artificial Intelligence into ERP Software ; A Conceptual View on Siar Sarferaz Book 2024 The Editor(s) (if applicable) and The Au

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31#
發(fā)表于 2025-3-26 23:04:11 | 只看該作者
32#
發(fā)表于 2025-3-27 03:56:10 | 只看該作者
33#
發(fā)表于 2025-3-27 06:40:40 | 只看該作者
https://doi.org/10.1007/978-3-031-54249-7Enterprise Resource Plannning Systems; Business AI; Business Information Systems; Artificial Intelligen
34#
發(fā)表于 2025-3-27 11:02:02 | 只看該作者
35#
發(fā)表于 2025-3-27 14:59:24 | 只看該作者
Biofertilizers from Microalgae,omputing techniques. However, the future is intelligent ERP systems that make use of artificial intelligence to mimic cognitive capabilities of human being for increasing the automatization of business processes. This is a completely new research area for which we suggest answers in the elaboration.
36#
發(fā)表于 2025-3-27 18:05:56 | 只看該作者
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發(fā)表于 2025-3-27 22:14:10 | 只看該作者
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發(fā)表于 2025-3-28 02:55:19 | 只看該作者
39#
發(fā)表于 2025-3-28 08:44:51 | 只看該作者
implementation framework that solves issues of explainabilty.This book?explains?how to embed artificial intelligence in digitized business processes of ERP software by solving the two related substantial challenges: how can artificial intelligence be systematically integrated into ERP business proce
40#
發(fā)表于 2025-3-28 12:38:52 | 只看該作者
Normal Microbiome of the Oral Cavity,aining but also batch inference. While the data integration for model training is unidirectional, for batch inference, the results must be transferred back to the ERP system. Initial load but also delta handling and packing must be resolved for the data replication as ERP systems always process mass data.
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