| Description |
1 online resource |
| Contents |
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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
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 Enterprise in the Era of Big Data presents an enterprise architecture that embodies the power of the emerging technology environment. Beginning with an introduction to the key challenges that enterprises face, the book systematically outlines a modern enterprise architecture through a detailed discussion of the inseparable elements of such an architecture: efficiency, flexibility, and intelligence. This architecture enables rapid responses to market needs by facilitating intelligent, flexible automation of enterprise business processes and sensing important developments in internal and external environments in near real time. Illustrating all of these elements in an integrated fashion, The Intelligent Enterprise in the Era of Big Data also features: -A detailed discussion on issues of time-to-market and flexibility with respect to enterprise application technology -Novel analyses illustrated through extensive real-world case studies to help readers better understand the applicability of the architecture and concepts -Practical approaches for designing and building intelligent enterprises -An appendix that presents various approaches to text analysis with real-world business implications The Intelligent Enterprise in the Era of Big Data is an appropriate reference for business executives, information technology professionals, data scientists, and management consultants |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record and CIP data provided by publisher |
| Subject |
Industrial management.
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Organizational effectiveness.
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Big data.
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COMPUTERS -- Data Processing.
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Big data
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Industrial management
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Organizational effectiveness
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| Form |
Electronic book
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| LC no. |
2016045447 |
| ISBN |
9781118834695 |
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1118834690 |
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9781118834756 |
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1118834755 |
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9781118834725 |
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1118834720 |
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