Enterprise AI For Dummies. Zachary Jarvinen
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Enterprise AI For Dummies®
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Copyright © 2020 by John Wiley & Sons, Inc., Hoboken, New Jersey
Published simultaneously in Canada
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Library of Congress Control Number: 2020941002
ISBN: 978-1-119-69629-2 (pbk); ISBN 978-1-119-69638-4 (ebk); ISBN 978-1-119-69639-1 (ebk)
Enterprise AI For Dummies®
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Table of Contents
1 Cover
2 Introduction About This Book Strong, Weak, General, and Narrow Foolish Assumptions Icons Used in This Book Beyond the Book Where to Go from Here
3 Part 1: Exploring Practical AI and How It Works Chapter 1: Demystifying Artificial Intelligence Understanding the Demand for AI Identifying the Enabling Technology Discovering How It Works Chapter 2: Looking at Uses for Practical AI Recognizing AI When You See It Benefits of AI for Your Enterprise Chapter 3: Preparing for Practical AI Democratizing AI Visualizing Results Digesting Data Defining Use Cases Choosing a Model Chapter 4: Implementing Practical AI The AI Competency Hierarchy Scoping, Setting Up, and Running an Enterprise AI Project Creating a High-Performing Data Science Team The Critical Role of Internal and External Partnerships Weighing Your Options: Build versus Buy Hosting in the Cloud versus On Premises
4
Part 2: Exploring Vertical Market Applications
Chapter 5: Healthcare/HMOs: Streamlining Operations
Surfing the Data Tsunami
Breaking the Iron Triangle with Data
Matching Algorithms to Benefits
Examining the Use Cases
Chapter 6: Biotech/Pharma: Taming the Complexity
Navigating