Premium
Opening Credits
1/4/2026
Front Matter
1/4/2026
Introduction
1/4/2026
Why Most AI Initiatives Fail at the Leadership Level
1/4/2026
This Book Is Filled With Practical Examples
1/4/2026
Chapter 1: What It Takes to Lead an AI-First Company
1/4/2026
Busting the "Sci-Fi" Myths
1/4/2026
The Leader Spirit
1/4/2026
You Need to Figure Out Your "Why"
1/4/2026
The Fork in the Road
1/4/2026
Chapter 2: Understanding AI
1/4/2026
The AI Buzz: What Are We Actually Talking About?
1/4/2026
Teaching Computers to Learn (Without Explicit Instructions)
1/4/2026
Talking to Machines That Actually Understand (Sort Of)
1/4/2026
A Quick Look at Today’s Leading Models
1/4/2026
Why This Matters to Leaders
1/4/2026
Chapter 3: AI Tools, Automation & Productivity
1/4/2026
Practical AI Solutions for Everyday Efficiency
1/4/2026
Enhance Your Productivity with AI
1/4/2026
Navigating the AI Tool Landscape
1/4/2026
Your First Practical Steps with AI Tools
1/4/2026
Chapter 4: The AI Execution System
1/4/2026
Phase 1: Create a Complete Task Inventory Per Department
1/4/2026
Phase 2: Break Down Each Task Into Its Parts
1/4/2026
Phase 3: Matching AI to the Right Steps
1/4/2026
Phase 4: Prioritize AI Projects Using the ICE Method
1/4/2026
Phase 5: Address Privacy and Ethical Considerations
1/4/2026
Phase 6: Prototype AI Workflows Using Low-Code Systems
1/4/2026
Chapter 5: From Execution to Adoption
1/4/2026
Making AI Real for Everyone Else
1/4/2026
Focus on Benefits, Not Just Features
1/4/2026
Highlighting Your Leader Projects
1/4/2026
Chapter 6: Ethical and Responsible AI Use
1/4/2026
Why Ethics Isn’t Just a Buzzword
1/4/2026
The Bias Blind Spot: Recognizing and Mitigating Unfairness
1/4/2026
Actively Auditing for Bias in AI Systems
1/4/2026
The Key to Fairer AI Is Diverse Data and Diverse Teams
1/4/2026
Privacy Matters: Handling Data with Respect and Care
1/4/2026
Who’s Responsible When Things Go Wrong?
1/4/2026
Maintaining Human Judgment and Control
1/4/2026
Building Systems That Learn from Mistakes
1/4/2026
Building a Sustainable and Ethical AI Future
1/4/2026
Making Ethics Actionable: Your Company’s Playbook
1/4/2026
Chapter 7: Navigating AI Laws, Regulations & Compliance
1/4/2026
Data Privacy in the Age of AI Is Non-Negotiable
1/4/2026
Consent, Transparency, and User Rights
1/4/2026
Data Minimization and Anonymization
1/4/2026
Cross-Border Data and Global Operations
1/4/2026
Intellectual Property and AI-Generated Content
1/4/2026
Accountability, Risk, and Human Oversight
1/4/2026
Vendor Responsibility and Tool Due Diligence
1/4/2026
How the EU AI Act Impacts Your AI Adoption
1/4/2026
A Practical Compliance Playbook for AI Leaders
1/4/2026
Chapter 8: From Knowledge to Action
1/4/2026
Your First 30 Days with AI
1/4/2026
Back Matter
1/4/2026
Ending Credits
1/4/2026