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Full Description
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.
Contents
- 1. The AI-Enabled Enterprise. - 2. Decision-Making in the Face of Uncertainty. - 3. Regulatory Compliance at Optimal Cost with Minimum Exposure to Risk. - 4. Continuously Adapting Software. - 5. Democratized Hyper-automated Software Development. - 6. Coordinated Continuous Digital Transformation. - 7. A Case Study: Wellness Ecosystem.
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