Why it matters: A field-informed reflection on the organizational realities that can determine whether enterprise AI succeeds: power, incentives, people, process, strategy and the gap between a technically impressive system and a useful one.
Questions this perspective explores
- Where does the technology create real operating value, and where is it mostly a label?
- What governance, human oversight or architecture is required before scaling it?
- Which trade-offs should an executive understand before committing budget, people or architecture?