標(biāo)題: Titlebook: Embedding Artificial Intelligence into ERP Software ; A Conceptual View on Siar Sarferaz Book 2024 The Editor(s) (if applicable) and The Au [打印本頁] 作者: 壓縮 時間: 2025-3-21 17:20
書目名稱Embedding Artificial Intelligence into ERP Software 影響因子(影響力)
書目名稱Embedding Artificial Intelligence into ERP Software 影響因子(影響力)學(xué)科排名
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書目名稱Embedding Artificial Intelligence into ERP Software 網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Embedding Artificial Intelligence into ERP Software 被引頻次
書目名稱Embedding Artificial Intelligence into ERP Software 被引頻次學(xué)科排名
書目名稱Embedding Artificial Intelligence into ERP Software 年度引用
書目名稱Embedding Artificial Intelligence into ERP Software 年度引用學(xué)科排名
書目名稱Embedding Artificial Intelligence into ERP Software 讀者反饋
書目名稱Embedding Artificial Intelligence into ERP Software 讀者反饋學(xué)科排名
作者: Nonconformist 時間: 2025-3-21 22:27 作者: BINGE 時間: 2025-3-22 01:43
Embedding Artificial Intelligence into ERP Software A Conceptual View on作者: GET 時間: 2025-3-22 07:54
Embedding Artificial Intelligence into ERP Software 978-3-031-54249-7作者: Encapsulate 時間: 2025-3-22 11:07
d, and specific topics are resolved like data integration, model validation, explainability, data protection and privacy, model degradation and performance. In the last part an implementation framework is sugge978-3-031-54248-0978-3-031-54249-7作者: travail 時間: 2025-3-22 14:11 作者: travail 時間: 2025-3-22 17:21 作者: Ophthalmologist 時間: 2025-3-23 00:17 作者: micronutrients 時間: 2025-3-23 02:05 作者: 功多汁水 時間: 2025-3-23 07:23 作者: engrossed 時間: 2025-3-23 12:09 作者: 殺蟲劑 時間: 2025-3-23 14:57
Solution Architecturelities, ERP reference processes, ERP reference architecture, and ERP application patterns for artificial intelligence build the foundation for the solution architecture that we propose in this chapter. There are simple use cases like trending and predictions, which can be served with classic algorit作者: Judicious 時間: 2025-3-23 21:10
Life Cycle Managementgence, new artifacts and processes are introduced that must be considered from the life cycle management perspective. For example, artificial intelligence models must be trained, deployed, activated, and monitored. Those aspects are not covered by classic life cycle management tools and concepts. ER作者: harangue 時間: 2025-3-23 22:43 作者: Consensus 時間: 2025-3-24 03:09
Data Protection and Data Privacylegal requirements. Thus, processing of artificial intelligence must be compliant with data protection and data privacy legislations. For example, the training job must only consider personal data for which consent is given. Compliance must be ensured for all aspects of General Data Protection Regul作者: 廣大 時間: 2025-3-24 09:59 作者: CURT 時間: 2025-3-24 12:41 作者: 逢迎春日 時間: 2025-3-24 17:52
Model Degradationpower of artificial intelligence models decreases due to changes in the data environment. Determining this time point and triggering retraining is the objective of model degradation. However, this is a challenging task as in addition to statistical techniques, feedback of the users is required and a作者: 敵意 時間: 2025-3-24 19:17 作者: 言行自由 時間: 2025-3-25 00:38 作者: 本能 時間: 2025-3-25 05:28
https://doi.org/10.1007/978-3-7091-6339-9aries according to the various vendors. In order to address this issue, we abstract from the various ERP products and propose a reference architecture. Thus, we can systematically incorporate our suggested artificial intelligence concepts into the ERP reference architecture and guarantee their valid作者: 支柱 時間: 2025-3-25 09:53
Virtual-Channel Flow Control and Buffering, identified two types of technology provisioning in the context of ERP systems. There are artificial intelligence technologies that are embedded into the database system and application server of ERP systems. For scalability reasons, artificial intelligence infrastructure (e.g., GPU computing) is al作者: 要塞 時間: 2025-3-25 11:55
Jeffrey J. Walker,Edward N. Brody,Larry Goldes is the added value resulting from this elaboration. Artificial intelligence must be deeply integrated into business processes and user interfaces of the underlying ERP systems in order to gain benefit for users. Typical ERP users are business experts with nearly no knowledge about data science or作者: 獨裁政府 時間: 2025-3-25 19:30 作者: 相反放置 時間: 2025-3-25 22:31
Achlesh Daverey,Kannan Pakshirajangence, new artifacts and processes are introduced that must be considered from the life cycle management perspective. For example, artificial intelligence models must be trained, deployed, activated, and monitored. Those aspects are not covered by classic life cycle management tools and concepts. ER作者: 我要沮喪 時間: 2025-3-26 01:20 作者: Baffle 時間: 2025-3-26 08:03
Colonized Selves, Decolonizing Ontologies,legal requirements. Thus, processing of artificial intelligence must be compliant with data protection and data privacy legislations. For example, the training job must only consider personal data for which consent is given. Compliance must be ensured for all aspects of General Data Protection Regul作者: 贊成你 時間: 2025-3-26 09:30 作者: 象形文字 時間: 2025-3-26 12:56
Microbes for Legume Improvementintelligence scenarios. However, customers or partners might require adopting this artificial intelligence-related content to their specific needs based on extensibility. This might be also necessary for use cases ERP customers or partners develop by themselves. Thus, technical solution is required,作者: 無禮回復(fù) 時間: 2025-3-26 20:37
Microbes for Legume Improvementpower of artificial intelligence models decreases due to changes in the data environment. Determining this time point and triggering retraining is the objective of model degradation. However, this is a challenging task as in addition to statistical techniques, feedback of the users is required and a作者: Commission 時間: 2025-3-26 23:04 作者: PLE 時間: 2025-3-27 03:56 作者: WAIL 時間: 2025-3-27 06:40
https://doi.org/10.1007/978-3-031-54249-7Enterprise Resource Plannning Systems; Business AI; Business Information Systems; Artificial Intelligen作者: Irremediable 時間: 2025-3-27 11:02 作者: BAIT 時間: 2025-3-27 14:59
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.作者: 遺忘 時間: 2025-3-27 18:05 作者: Homocystinuria 時間: 2025-3-27 22:14 作者: Delectable 時間: 2025-3-28 02:55 作者: 推崇 時間: 2025-3-28 08:44
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作者: Cerumen 時間: 2025-3-28 12:38
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.作者: CLAY 時間: 2025-3-28 14:58
Colonized Selves, Decolonizing Ontologies, training job must only consider personal data for which consent is given. Compliance must be ensured for all aspects of General Data Protection Regulation (GDPR). Authorization concept must ensure that only permitted user apply inference calls and consume the results.作者: 委托 時間: 2025-3-28 22:19
Microbes for Legume Improvemented on extensibility. This might be also necessary for use cases ERP customers or partners develop by themselves. Thus, technical solution is required, which allows enhancements of existing use cases while those extensions are protected from upgrades to avoid been overwritten.作者: IRS 時間: 2025-3-29 02:25
Microbes for Legume Improvement objective of model degradation. However, this is a challenging task as in addition to statistical techniques, feedback of the users is required and also the ability to parallelly run models in ERP systems. Our focus is less on the data science methods for model degradation but on the integration aspects regarding ERP software.作者: 時間等 時間: 2025-3-29 05:03
https://doi.org/10.1007/978-3-7091-6339-9 procurement, manufacturing, service, asset management, finance, and human capital management. As a side result, the reference architecture can also be used to evaluate the architecture of different ERP products.作者: 喚起 時間: 2025-3-29 10:49
Virtual-Channel Flow Control and Buffering,own ERP product and reflect the contained artificial intelligence technologies. This is also helpful in understanding the case studies and implementation framework introduced in the last part of the elaboration. The goal is to describe what those technologies are intended to be used for and not to explain all features and functions in detail.作者: 動作謎 時間: 2025-3-29 15:14
Jeffrey J. Walker,Edward N. Brody,Larry Goldtion projects, we determined various artificial intelligence patterns in the context of ERP software. Identifying the relevant ERP application patterns for artificial intelligence is also a new finding and vital for driving the appropriate solution architecture.作者: 小畫像 時間: 2025-3-29 18:41
ERP Reference Architecture procurement, manufacturing, service, asset management, finance, and human capital management. As a side result, the reference architecture can also be used to evaluate the architecture of different ERP products.作者: 暫時中止 時間: 2025-3-29 21:23 作者: orthodox 時間: 2025-3-30 00:23
Business Requirements and Application Patternstion projects, we determined various artificial intelligence patterns in the context of ERP software. Identifying the relevant ERP application patterns for artificial intelligence is also a new finding and vital for driving the appropriate solution architecture.作者: 改正 時間: 2025-3-30 05:52
Data Integrationaining 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.作者: expire 時間: 2025-3-30 09:41
Data Protection and Data Privacy training job must only consider personal data for which consent is given. Compliance must be ensured for all aspects of General Data Protection Regulation (GDPR). Authorization concept must ensure that only permitted user apply inference calls and consume the results.作者: BUMP 時間: 2025-3-30 15:51
Extensibilityed on extensibility. This might be also necessary for use cases ERP customers or partners develop by themselves. Thus, technical solution is required, which allows enhancements of existing use cases while those extensions are protected from upgrades to avoid been overwritten.作者: 繼而發(fā)生 時間: 2025-3-30 18:12 作者: 固定某物 時間: 2025-3-30 22:12
