Artificial Intelligence for Business, A Roadmap for Getting Started with AI by Anderson, Jason L. -- Read -- Imperial Library of Trantor

Index

Cover Table of Contents Preface Acknowledgments CHAPTER 1: Introduction

Case Study #1: FANUC Corporation Case Study #2: H&R 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 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 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 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?

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 End User License Agreement