- Shift focus from chatbots to invisible operational AI guests feel.
- Use AI to boost efficiency, accuracy, and profit—keep service human.
- Tackle the data tax: surface and fix data-quality issues.
- Prioritize prediction/correction (ETL, BI, pricing, inventory) for ROI.
- Why most hotel AI and analytics initiatives fail: fragmented data, unclear ownership, and weak governance
- How unified BI and disciplined data management enable better commercial and service decisions in practice
- What it takes to move from “nice dashboards” to real, data-driven revenue steering in hotel operations
