Enterprise Artificial Intelligence Transformation

Rashed Haq 지음

Wiley 2020년 06월 10일 출간

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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.

목차

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

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저자(글) Rashed Haq

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