| Description |
1 online resource (xxiv, 342 pages) : illustrations, maps |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
"Enterprise Artificial Intelligence Transformation helps business and technology professionals master the segments of the AI market that relate to them and achieve, maintain, and grow successful and cost-effective AI. Readers will learn to build and sustain an AI organizational capability at scale. The author takes a dual analytic and instructional approach, enabling readers to come away confident in their ability to utilize AI effectively. Topics covered include: Crafting an AI strategy Machine learning, deep learning, and semantic modeling Creating and managing an AI Center of Excellence Risk management, and Real-world AI use cases"-- Provided by publisher. |
| Contents |
Cover -- Title Page -- Copyright Page -- Contents -- Foreword: Artificial Intelligence and the New Generation of Technology Building Blocks -- Prologue: A Guide to This Book -- PART I A Brief Introduction to Artificial Intelligence -- Chapter 1 A Revolution in the Making -- The Impact of the Four Revolutions -- AI Myths and Reality -- The Data and Algorithms Virtuous Cycle -- The Ongoing Revolution -- Why Now? -- AI: Your Competitive Advantage -- Chapter 2 What Is AI and How Does It Work? -- The Development of Narrow AI -- The First Neural Network -- Machine Learning. |
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Types of Uses for Machine Learning -- Types of Machine Learning Algorithms -- Supervised, Unsupervised, and Semisupervised Learning -- Making Data More Useful -- Semantic Reasoning -- Applications of AI -- PART II Artificial Intelligence in the Enterprise -- Chapter 3 AI in E-Commerce and Retail -- Digital Advertising -- Marketing and Customer Acquisition -- Cross-Selling, Up-Selling, and Loyalty -- Business-to-Business Customer Intelligence -- Dynamic Pricing and Supply Chain Optimization -- Digital Assistants and Customer Engagement -- Chapter 4 AI in Financial Services -- Anti-Money Laundering. |
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Loans and Credit Risk -- Predictive Services and Advice -- Algorithmic and Autonomous Trading -- Investment Research and Market Insights -- Automated Business Operations -- Chapter 5 AI in Manufacturing and Energy -- Optimized Plant Operations and Assets Maintenance -- Automated Production Lifecycles -- Supply Chain Optimization -- Inventory Management and Distribution Logistics -- Electric Power Forecasting and Demand Response -- Oil Production -- Energy Trading -- Chapter 6 AI in Healthcare -- Pharmaceutical Drug Discovery -- Clinical Trials -- Disease Diagnosis. |
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Preparation for Palliative Care -- Hospital Care -- PART III Building Your Enterprise AI Capability -- Chapter 7 Developing an AI Strategy -- Goals of Connected Intelligence Systems -- The Challenges of Implementing AI -- AI Strategy Components -- Steps to Develop an AI Strategy -- Some Assembly Required -- Creating an AI Center of Excellence -- Building an AI Platform -- Defining a Data Strategy -- Moving Ahead -- Chapter 8 The AI Lifecycle -- Defining Use Cases -- Collecting, Assessing, and Remediating Data -- Data Instrumentation -- Data Cleansing -- Data Labeling -- Feature Engineering. |
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Selecting and Training a Model -- Managing Models -- Testing, Deploying, and Activating Models -- Testing -- Governing Model Risk -- Deploying the Model -- Activating the Model -- Production Monitoring -- Conclusion -- Chapter 9 Building the Perfect AI Engine -- AI Platforms versus AI Applications -- What AI Platform Architectures Should Do -- Some Important Considerations -- Should a System Be Cloud-Enabled, Onsite at an Organization, or a Hybrid of the Two? -- Should a Business Store Its Data in a Data Warehouse, a Data Lake, or a Data Marketplace? |
| Subject |
Business enterprises -- Technological innovations.
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Artificial intelligence -- Economic aspects.
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Organizational learning.
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Organizational effectiveness.
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Entreprises -- Innovations. |
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Intelligence artificielle -- Aspect économique. |
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Apprentissage organisationnel. |
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Efficacité organisationnelle. |
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Artificial intelligence -- Economic aspects |
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Business enterprises -- Technological innovations |
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Organizational effectiveness |
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Organizational learning |
| Other Form: |
Print version: Haq, Rashed. Enterprise artificial intelligence transformation First Edition. Hoboken : Wiley, 2020. 9781119665939 (DLC) 2019056747 |
| ISBN |
9781119665977 electronic book |
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1119665973 electronic book |
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9781119665861 electronic book |
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1119665868 electronic book |
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hardcover |
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