| Description |
1 online resource (198 p.) |
| Contents |
Intro -- Table of Contents -- Preface -- Acknowledgments -- CHAPTER 1: Introduction -- Case Study #1: FANUC Corporation -- Case Study #2: HR Block -- Case Study #3: BlackRock, Inc. -- How to Get Started -- The Road Ahead -- Notes -- CHAPTER 2: Ideation -- An Artificial Intelligence Primer -- Becoming an Innovation-Focused Organization -- Idea Bank -- Business Process Mapping -- Flowcharts, SOPs, and You -- Information Flows -- Coming Up with Ideas -- Value Analysis -- Sorting and Filtering -- Ranking, Categorizing, and Classifying -- Reviewing the Idea Bank |
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Brainstorming and Chance Encounters -- AI Limitations -- Pitfalls -- Action Checklist -- Notes -- CHAPTER 3: Defining the Project -- The What, Why, and How of a Project Plan -- The Components of a Project Plan -- Approaches to Break Down a Project -- Project Measurability -- Balanced Scorecard -- Building an AI Project Plan -- Pitfalls -- Action Checklist -- CHAPTER 4: Data Curation and Governance -- Data Collection -- Leveraging the Power of Existing Systems -- The Role of a Data Scientist -- Feedback Loops -- Making Data Accessible -- Data Governance -- Are You Data Ready? -- Pitfalls |
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Action Checklist -- Notes -- CHAPTER 5: Prototyping -- Is There an Existing Solution? -- Employing vs. Contracting Talent -- Scrum Overview -- User Story Prioritization -- The Development Feedback Loop -- Designing the Prototype -- Technology Selection -- Cloud APIs and Microservices -- Internal APIs -- Pitfalls -- Action Checklist -- Notes -- CHAPTER 6: Production -- Reusing the Prototype vs. Starting from a Clean Slate -- Continuous Integration -- Automated Testing -- Ensuring a Robust AI System -- Human Intervention in AI Systems -- Ensure Prototype Technology Scales |
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Cloud Deployment Paradigms -- Cloud API's SLA -- Continuing the Feedback Loop -- Pitfalls -- Action Checklist -- Notes -- CHAPTER 7: Thriving with an AI Lifecycle -- Incorporate User Feedback -- AI Systems Learn -- New Technology -- 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 -- CHAPTER 8: Conclusion -- The Intelligent Business Model -- The Recap -- So What Are You Waiting For? |
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APPENDIX A: AI Experts -- AI Experts -- Chris Ackerson -- Jeff Bradford -- Nathan S. Robinson -- Evelyn Duesterwald -- Jill Nephew -- Rahul Akolkar -- Steven Flores -- 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 -- 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 -- Index |
| Notes |
Description based upon print version of record |
|
End User License Agreement |
| Subject |
Artificial intelligence -- Economic aspects
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Artificial intelligence -- Economic aspects
|
| Form |
Electronic book
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| Author |
Coveyduc, Jeffrey L
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| ISBN |
9781119651802 |
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1119651808 |
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