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.