Hotel Technology Chief: Clean Data Infrastructure Matters More Than AI Models

Kari Anna Fiskvik, Chief Digital and Technology Officer at Nordic hotel group Strawberry, argues that AI success in travel depends fundamentally on unified, clean data architecture rather than advanced machine learning models themselves, which are increasingly becoming commoditized. She contends that without proper data infrastructure and integration across systems, AI implementation simply amplifies existing operational chaos rather than improving guest experiences or efficiency. Fiskvik emphasizes that hotels betting on proprietary AI solutions without first addressing fragmented data systems across departments will underperform those with solid foundational data management.

Strawberry's ransomware recovery in 2021 demonstrated the operational value of systems understanding, a principle Fiskvik now applies to AI strategy. Her position reflects a broader industry recognition that artificial intelligence capabilities have become increasingly accessible commodities as major technology platforms compete to offer comparable solutions, shifting competitive advantage toward organizational foundations rather than algorithmic sophistication.

Fiskvik distinguishes between operational domains where automation creates genuine value and those where human involvement remains essential to guest satisfaction. She argues that hospitality businesses must evaluate technology investments based on concrete improvements to either guest experience or employee capability rather than implementation for its own sake, particularly as numerous vendors market AI solutions primarily to support their own commercial growth rather than solve specific hotel operational challenges.