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Full Description
THE DESIGN FLAW
Technical teams build capabilities but often lack business context. Business leaders demand solutions but rarely fully understand technical constraints. Data teams control the raw material but are often disconnected from both. And when things go sideways—as they often do—the fingerpointing begins.
This isn't a minor coordination issue; it's a fundamental design flaw in how organizations approach artificial intelligence (AI)—and a fundamental failure in how we create, capture, connect, and communicate its value. It is also a failure in our underlying understanding of how to get value from AI.
The Values of Artificial Intelligence shows how to fix this flaw—not through reorganization or the usual buzzwords, but through frameworks that make value creation truly broadly-owned when it succeeds and accountable when it fails.
The tools in these pages are practical, tested, and deeply human—designed to bridge what technology delivers with what people ultimately value.
Contents
1. The Multidimensional Values of AI 2. The Data Foundation: Why Data Drives AI Value 3. Spotting Signals of AI Value Failure 4. The Value-First Approach to AI 5. Creating a Cross-Organizational AI Strategy 6. From Pilot to Scale: Building Sustainable AI Value 7. Securing Executive Buy-In and Board Support 8. Building Cross-Functional Support for AI Initiatives 9. Fostering Employee Trust and Adoption 10. Communicating AI's Societal and Ethical Values 11. Measuring What Matters 12. Creating Sustainable AI Value 13. Future-Proofing AI Value 14. The Data-to-Value Integration Blueprint 15. Leading AI Value Creation 16. From Chaos to Clarity: Your AI Value Creation Toolkit 17. Conclusion: The Courage to Create Value that Matters
