The AI-Enabled Enterprise
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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Putanga: | 1st ed. 2023. |
| Rangatū: | The Enterprise Engineering Series,
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| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-29053-4 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| Whakarāpopototanga: | 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. |
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| Whakaahuatanga ōkiko: | 1 online resource (XII, 135 p. 65 illus.). 58 illus. in color. |
| ISBN: | 9783031290534 |
| ISSN: | 1867-8939 |
| DOI: | 10.1007/978-3-031-29053-4 |