This compendium discusses the adaptive enterprise architecture (AEA) as information to support decisions and actions for desired efficiency and innovation (outcomes and impacts). This comprehensive information-driven approach uses data, analytics, and intelligence (AI/ML) for architecting intelligent enterprises.
The unique reference text includes practical artefacts and vivid examples based on both practice and research. It benefits chief information officers, chief data officers, chief enterprise architects, enterprise architects, business architects, information architects, data architects, and anyone who has an interest in adaptive and digital enterprise architecture.
Contents:
- Book Reviews
- Foreword
- Preface
- About The Author
- Acknowledgements
- Executive Summary
- Conceptual Foundation:
- Being Adaptive
- The Adaptive EA Framework
- Adaptive EA Design:
- Adaptive EA Principles
- Adaptive EA Metamodel
- Adaptive EA Layers
- Adaptive EA Practice:
- Adaptive EA Capability
- Adaptive EA Pipeline
- Adaptive EA Services
- Putting It All Together
- Bibliography
- Index
Readership: Researchers, professionals, academics, and graduate students in AI/Machine Learning.
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