Artificial Intelligence for Business. Jason L. Anderson

rel="nofollow" href="#ulink_bd11be95-a56c-5d9e-8416-a4269e481499">Quantifying Model Performance Updating and Reviewing the Idea Bank Knowledge Base Building a Model Library Contributing to Open Source Data Improvements With Great Power Comes Responsibility Pitfalls Action Checklist Notes

      11  CHAPTER 8: Conclusion The Intelligent Business Model The Recap So What Are You Waiting For?

      12  APPENDIX A: AI Experts AI Experts Chris Ackerson Jeff Bradford Nathan S. Robinson Evelyn Duesterwald Jill Nephew Rahul Akolkar Steven Flores

      13  APPENDIX B: Roadmap Action Checklists Step 1: Ideation Step 2: Defining the Project Step 3: Data Curation and Governance Step 4: Prototyping Step 5: Production Thriving with an AI Lifecycle

      14  APPENDIX C: Pitfalls to Avoid Step 1: Ideation Step 2: Defining the Project Step 3: Data Curation and Governance Step 4: Prototyping Step 5: Production Thriving with an AI Lifecycle

      15  Index

      16  End User License Agreement

      List of Tables

      1 Chapter 2TABLE 2.1 A sample idea bank

      2 Chapter 5TABLE 5.1 Sample tech selection chatbot technologies

      List of Illustrations

      1 Chapter 1FIGURE 1.1 Example of a FANUC RobotFIGURE 1.2 The AI Adoption Roadmap

      2 Chapter 2FIGURE 2.1 The Standard Interpretation of the Turing TestFIGURE 2.2 A Neural Network with a Single NeuronFIGURE 2.3 A Fully Connected Neural Network with Multiple LayersFIGURE 2.4 A Venn Diagram Describing How Deep Learning Relates to AIFIGURE 2.5 An Enhanced Organizational ChartFIGURE 2.6 An Information Flow Before an AI SystemFIGURE 2.7 An Information Flow After an AI SystemFIGURE 2.8 A Sample Process FlowchartFIGURE 2.9 An Example Grouping of Ideas

      3 Chapter 3FIGURE 3.1 The Design Thinking Process

      4 Chapter 4FIGURE 4.1 Data Available for Training AI ModelsFIGURE 4.2 The Typical Data Science Flow

      5 Chapter 5FIGURE 5.1 The Stages and Roles Involved with FeedbackFIGURE 5.2 A Logical Architecture for a Support ChatbotFIGURE 5.3 A Physical Architecture for a Support ChatbotFIGURE 5.4 Sample Catalog of AI Cloud Services from IBM

      6 Chapter 6FIGURE 6.1 Promoting Application Code from Stage to ProductionFIGURE 6.2 Promoting a Model from Stage to ProductionFIGURE 6.3 Acceptance, Integration, and Unit TestingFIGURE 6.4 Sample Chatbot Architecture that Includes a Human in the LoopFIGURE 6.5 Example of a Workload that Exhibits Spikes

      7 Chapter 7FIGURE 7.1 Sample Confusion Matrix for an Animal Classifier

      Guide

      1  Cover

      2 Table of Contents

      3  Begin Reading

      Pages

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      5  xi

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