| 書(shū)目名稱 | The AI-Enabled Enterprise |
| 編輯 | Vinay Kulkarni,Sreedhar Reddy,Henderik A. Proper |
| 視頻video | http://file.papertrans.cn/904/903952/903952.mp4 |
| 概述 | Discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise.For each such challenge, it proposes a line of attack along with the associated enabling technolo |
| 叢書(shū)名稱 | The Enterprise Engineering Series |
| 圖書(shū)封面 |  |
| 描述 | .The AI enabled enterprise uses technology to continuously learn by monitoring its behavior and the environment as well as external knowledge sources in order to automate the decision-making and decision-implementation processes leading to continuous improvement over time. This book discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise: the role of digital twins in evidence-backed design, enterprise cartography that goes far beyond process mining, decision-making in the face of uncertainty, software architecture for continuous adaptation, democratized knowledge-guided software development enabling coordinated design, low code versus no code, and coherent design. For each challenge, the book proposes a line of attack along with the associated enabling technology and illustrates the same through a near real world use case.. |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | Enterprise Information Systems; Business Intelligence; Machine Learning; Decision Support Systems; Enter |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-29053-4 |
| isbn_softcover | 978-3-031-29052-7 |
| isbn_ebook | 978-3-031-29053-4Series ISSN 1867-8920 Series E-ISSN 1867-8939 |
| issn_series | 1867-8920 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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