The AI-Enabled Enterprise [electronic resource] /
Material type: TextSeries: The Enterprise Engineering SeriesPublisher: Cham : Springer International Publishing : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XII, 135 p. 65 illus., 58 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783031290534
- 650.0285 23
- 658.05 23
- HF5548.125-.6
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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