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Enterprise artificial intelligence transformation : a playbook for the next generation of business and technology leaders /
"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 sc...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2020]
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- 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.
- 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.
- 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.
- 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.
- 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?