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The intelligent enterprise in the era of big data /
An innovative guide to the organization and function of enterprises in the technological age In the era of big data and automation, this book presents a cutting-edge approach in how enterprises should organize and function. Striking a practical balance between theory and practice, The Intelligent En...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley & Sons,
2016.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- THE INTELLIGENT ENTERPRISE IN THE ERA OF BIG DATA; Contents; Preface; Acknowledgments; PART I Challenges of the Digital Age; 1 The Crisis Has Not Gone Away: Opportunity Beckons; 1.1 Introduction; 1.2 Challenges with Current Technology Paradigms: Chronic Issues of Time to Market and Flexibility; 1.3 The Emergence of Packaged Applications; 1.4 The New Front: Information; Big Data Is Not New; What Is New Is Unstructured Information; 1.5 Enterprise Architecture: Current State and Implications; 1.6 The Intelligent Enterprise of Tomorrow; References.
- PART II An Architecture for the Intelligent Enterprise2 Efficiency and Agility; 2.1 Introduction; 2.2 The Process-Oriented Enterprise; 2.2.1 Becoming Process Oriented; 2.2.2 Why Must We Choose?; 2.2.3 Design and Execution; 2.3 Role of Outsourcing in Creating Efficiency and Agility; 2.4 Role of Technology in Efficiency and Agility; 2.4.1 Current Challenges with Technology; 2.4.2 BPM Software; 2.4.3 Role of Methodology; 2.4.4 Agile Not Equal to Agility; 2.5 A New Technology Paradigm for Efficiency and Agility; 2.5.1 Technology and the Process-Oriented Architecture; 2.5.2 RAGE AITM.
- 2.5.3 RAGE Abstract Components2.5.4 RIM
- An Actionable, Dynamic Methodology; 2.5.5 Real Time Software Development; 2.6 Summary; References; 3 Insight and Intelligence; 3.1 Introduction; 3.2 The Excitement around Big Data; 3.3 Information Overload, Asymmetry, and Decision Making; 3.3.1 Information Overload; 3.3.2 Information Asymmetry; 3.4 Artificial Intelligence to the Rescue; 3.4.1 A Taxonomy of AI Problem Types and Methods; 3.4.2 AI Solution Outcomes; 3.4.3 AI Solution Methods; 3.5 Machine Learning Using Computational Statistics; 3.5.1 Decision Trees.
- 3.5.2 Artificial Neural Networks (ANNs)Kernel Machines; 3.5.3 Deep Learning Architectures; 3.6 Machine Learning with Natural Language; 3.6.1 The "Bag-of-Words" Representation; 3.6.2 Sentiment Analysis; 3.6.3 Knowledge Acquisition and Representation; 3.7 A Deep Learning Framework for Learning and Inference; 3.7.1 Conceptual Semantic Network; 3.7.2 Knowledge Discoverer; 3.7.3 Computational Linguistics Engine; 3.7.4 Impact Analysis; 3.7.5 Formulation of the Impact Analysis Problem; 3.8 Summary; References; 4 The Intelligent Enterprise of Tomorrow; 4.1 The Road to an Intelligent Enterprise.
- 4.2 Enterprise Architecture Evolution4.2.1 Technology Evolution; 4.2.2 Flexible, Near Real Time Software Development; 4.2.3 Machine Intelligence; 4.2.4 E4.0 Architecture; 4.3 Humans versus Machines; 4.4 Summary; Appendix: A Five-Step Approach to an Intelligent Enterprise; References; PART III Real World Case Studies; 5 Active Advising with Intelligent Agents; 5.1 Introduction; 5.2 The Investment Advisory Market; 5.3 What Do Investors Really Need and Want; 5.4 Challenges with High-Touch Advisory Services; 5.4.1 Questions of Value and Interest; 5.4.2 The Massive "Wealth Transfer" Phenomenon.