University · Business Informatics · Artificial Intelligence and Machine Learning
Implementing AI Projects in Business Organizations
5 Abschnitte1 Karteikarten-Decks1 Quizze
A Business Informatics perspective on how organizations move artificial intelligence from pilot experiments to production value, covering the AI project lifecycle, organizational readiness, governance and responsible AI, and the change-management challenges that determine whether AI initiatives succeed.
Inhaltsübersicht
- Why AI Projects Differ from Traditional IT Projects
- The AI Project Lifecycle: CRISP-DM and Beyond
- Organizational Readiness: Data, Talent, and AI Capability
- Governance and Responsible AI: Managing Risk in Deployment
- Change Management, Value Realization, and Common Pitfalls
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