دانلود کتاب Artificial Intelligence for Business: A Roadmap for Getting Started with AI

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Table of Contents\nPreface\nAcknowledgments\nCHAPTER 1: Introduction\n Case Study #1: FANUC Corporation\n Case Study #2: H&R Block\n Case Study #3: BlackRock, Inc.\n How to Get Started\n The Road Ahead\n Notes\nCHAPTER 2: Ideation\n An Artificial Intelligence Primer\n Becoming an Innovation‐Focused Organization\n Idea Bank\n Business Process Mapping\n Flowcharts, SOPs, and You\n Information Flows\n Coming Up with Ideas\n Value Analysis\n Sorting and Filtering\n Ranking, Categorizing, and Classifying\n Reviewing the Idea Bank\n Brainstorming and Chance Encounters\n AI Limitations\n Pitfalls\n Action Checklist\n Notes\nCHAPTER 3: Defining the Project\n The What, Why, and How of a Project Plan\n The Components of a Project Plan\n Approaches to Break Down a Project\n Project Measurability\n Balanced Scorecard\n Building an AI Project Plan\n Pitfalls\n Action Checklist\nCHAPTER 4: Data Curation and Governance\n Data Collection\n Leveraging the Power of Existing Systems\n The Role of a Data Scientist\n Feedback Loops\n Making Data Accessible\n Data Governance\n Are You Data Ready?\n Pitfalls\n Action Checklist\n Notes\nCHAPTER 5: Prototyping\n Is There an Existing Solution?\n Employing vs. Contracting Talent\n Scrum Overview\n User Story Prioritization\n The Development Feedback Loop\n Designing the Prototype\n Technology Selection\n Cloud APIs and Microservices\n Internal APIs\n Pitfalls\n Action Checklist\n Notes\nCHAPTER 6: Production\n Reusing the Prototype vs. Starting from a Clean Slate\n Continuous Integration\n Automated Testing\n Ensuring a Robust AI System\n Human Intervention in AI Systems\n Ensure Prototype Technology Scales\n Cloud Deployment Paradigms\n Cloud API\'s SLA\n Continuing the Feedback Loop\n Pitfalls\n Action Checklist\n Notes\nCHAPTER 7: Thriving with an AI Lifecycle\n Incorporate User Feedback\n AI Systems Learn\n New Technology\n Quantifying Model Performance\n Updating and Reviewing the Idea Bank\n Knowledge Base\n Building a Model Library\n Contributing to Open Source\n Data Improvements\n With Great Power Comes Responsibility\n Pitfalls\n Action Checklist\n Notes\nCHAPTER 8: Conclusion\n The Intelligent Business Model\n The Recap\n So What Are You Waiting For?\nAPPENDIX A: AI Experts\n AI Experts\n Chris Ackerson\n Jeff Bradford\n Nathan S. Robinson\n Evelyn Duesterwald\n Jill Nephew\n Rahul Akolkar\n Steven Flores\nAPPENDIX B: Roadmap Action Checklists\n Step 1: Ideation\n Step 2: Defining the Project\n Step 3: Data Curation and Governance\n Step 4: Prototyping\n Step 5: Production\n Thriving with an AI Lifecycle\nAPPENDIX C: Pitfalls to Avoid\n Step 1: Ideation\n Step 2: Defining the Project\n Step 3: Data Curation and Governance\n Step 4: Prototyping\n Step 5: Production\n Thriving with an AI Lifecycle\nIndex\nEnd User License Agreement