Rashed Haq

Enterprise Artificial Intelligence Transformation (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: * Real-world AI use cases and examples * Machine learning, deep learning, and slimantic modeling * Risk management of AI models * AI strategies for development and expansion * AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 368
• Erscheinungstermin: 10. Juni 2020
• Englisch
• ISBN-13: 9781119665977
• Artikelnr.: 59605553

Autorenporträt

RASHED HAQ is an AI and robotics technologist. He was recently appointed as the Vice President of Robotics at Cruise, one of the leading autonomous vehicle companies. He was previously the Global Head of AI & Data and Group Vice President at Publicis Sapient. He has spent over 20 years helping companies transform and create sustained competitive advantage through technology and data. Rashed holds advanced degrees in theoretical physics and mathematics. An accomplished author and sought-after speaker, Rashed frequently writes about the practical uses of AI in business.

Inhaltsangabe

Foreword: Artificial Intelligence and the New Generation of Technology Building Blocks xv

Prologue: A Guide to This Book xxi

Part I: A Brief Introduction to Artificial Intelligence 1

Chapter 1: A Revolution in the Making 3

The Impact of the Four Revolutions 4

AI Myths and Reality 6

The Data and Algorithms Virtuous Cycle 7

The Ongoing Revolution - Why Now? 8

AI: Your Competitive Advantage 13

Chapter 2: What Is AI and How Does It Work? 17

The Development of Narrow AI 18

The First Neural Network 20

Machine Learning 20

Types of Uses for Machine Learning 23

Types of Machine Learning Algorithms 24

Supervised, Unsupervised, and Semisupervised Learning 28

Making Data More Useful 32

Semantic Reasoning 34

Applications of AI 40

Part II: Artificial Intelligence In the Enterprise 43

Chapter 3: AI in E-Commerce and Retail 45

Digital Advertising 46

Marketing and Customer Acquisition 48

Cross-Selling, Up-Selling, and Loyalty 52

Business-to-Business Customer Intelligence 55

Dynamic Pricing and Supply Chain Optimization 57

Digital Assistants and Customer Engagement 59

Chapter 4: AI in Financial Services 67

Anti-Money Laundering 68

Loans and Credit Risk 71

Predictive Services and Advice 72

Algorithmic and Autonomous Trading 75

Investment Research and Market Insights 77

Automated Business Operations 81

Chapter 5: AI in Manufacturing and Energy 85

Optimized Plant Operations and Assets Maintenance 88

Automated Production Lifecycles 91

Supply Chain Optimization 91

Inventory Management and Distribution Logistics 93

Electric Power Forecasting and Demand Response 94

Oil Production 96

Energy Trading 99

Chapter 6: AI in Healthcare 103

Pharmaceutical Drug Discovery 104

Clinical Trials 105

Disease Diagnosis 106

Preparation for Palliative Care 109

Hospital Care 111

PART III: BUILDING YOUR ENTERPRISE AI CAPABILITY 117

Chapter 7: Developing an AI Strategy 119

Goals of Connected Intelligence Systems 120

The Challenges of Implementing AI 122

AI Strategy Components 126

Steps to Develop an AI Strategy 127

Some Assembly Required 129

Creating an AI Center of Excellence 130

Building an AI Platform 131

Defining a Data Strategy 132

Moving Ahead 134

Chapter 8: The AI Lifecycle 137

Defining Use Cases 138

Collecting, Assessing, and Remediating Data 143

Data Instrumentation 144

Data Cleansing 145

Data Labeling 146

Feature Engineering 148

Selecting and Training a Model 151

Managing Models 160

Testing, Deploying, and Activating Models 164

Testing 164

Governing Model Risk 165

Deploying the Model 166

Activating the Model 166

Production Monitoring 168

Conclusion 169

Chapter 9: Building the Perfect AI Engine 171

AI Platforms versus AI Applications 172

What AI Platform Architectures Should Do 172

Some Important Considerations 179

Should a System Be Cloud-Enabled, Onsite at an Organization, or a Hybrid of the Two? 179

Should a Business Store Its Data in a Data Warehouse, a Data Lake, or a Data Marketplace? 180

Should a Business Use Batch or Real-T