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Titlebook: Digitalization and Artificial Intelligence; Use by and in Contro Thomas Schneider Book 2023 The Editor(s) (if applicable) and The Author(s)

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發(fā)表于 2025-3-28 15:35:22 | 只看該作者
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發(fā)表于 2025-3-28 18:51:32 | 只看該作者
Expert Knowledge,der certain circumstances, humans become experts. This requires two prerequisites: a regular environment and immediate, directly experienceable consequences of one’s own actions. If about 10,000?h of practice have been put in, the expert can make decisions that are impossible for third parties. Gut
43#
發(fā)表于 2025-3-29 01:14:34 | 只看該作者
Via Negativa,consider what will no longer exist in the future. That which can be broken, that which the world does not really need, will eventually break down, what lasts will remain, the longer it has existed, the longer it will remain. It’s not the companies that do everything right that survive, it’s the ones
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發(fā)表于 2025-3-29 05:09:57 | 只看該作者
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發(fā)表于 2025-3-29 09:30:37 | 只看該作者
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發(fā)表于 2025-3-29 14:09:04 | 只看該作者
Top-Down Versus Bottom-Up, involved as the most important addressee, but other managers also receive the corresponding reports, so that the entire first management level is addressed. The biggest challenge is the non-standardized information. In most companies, there is a considerable proliferation of data. What is needed is
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發(fā)表于 2025-3-29 19:10:38 | 只看該作者
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發(fā)表于 2025-3-29 21:36:25 | 只看該作者
Reporting, the company. The progress on the part of the ERP providers must be used, since these almost without exception integrate reporting options that also include the graphical options of the presentation. Almost everything that is possible can be offered with almost all solutions. Accordingly, with relat
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發(fā)表于 2025-3-30 03:02:37 | 只看該作者
50#
發(fā)表于 2025-3-30 05:03:02 | 只看該作者
Operational Development,ational tasks should not be seen as a commercial product, the active, operational data all too often displaces the passive, innovative data. The Balanced Scorecard explicitly lists active data: Product-related, Customer-related, Productivity, and Financial. This data is “l(fā)oud,” which is why managers
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