Strategy
The content building blocks of an AI strategy: from vision and use cases through architecture and operating model to regulation, security, ethics, and change management.
Part B bundles the substantive building blocks of an AI strategy: from vision and use cases through build-buy-partner decisions, data strategy, architecture, and operating model to regulation, security, ethics, and enablement.
| Chapter | Content |
|---|---|
| B1. Vision and Strategic Embedding | Alignment, opportunities, long-term vision |
| B2. Identifying and Prioritizing Use Cases | Canvas, scorecard, business case |
| B3. Build, Buy, or Partner | Decision matrix, vendor questionnaire |
| B4. Data Strategy | Data quality, data access, data governance |
| B5. Target Architecture | Reference building blocks, architectural principles |
| B6. Operating Model and Organization | AI center of excellence, central vs. decentral |
| B7. Roles and Responsibilities | RACI, role profiles, decision rights |
| B8. Regulation and Compliance | EU AI Act, GDPR, sector supervision |
| B9. Security for AI | Threats and controls |
| B10. Ethics and Responsible AI | Fairness, transparency, oversight |
| B11. Change Management and Enablement | Acceptance, communication, talent strategy |