Agilysys' Frank Pitsikalis: fix the data before you fix the AI

Why this matters

The emphasis on data integrity before deploying AI in hospitality technology underscores a broader institutional challenge in US commercial real estate: the quality of underlying asset data remains a gating factor for advanced analytics and automation. As capital flows increasingly target operational efficiencies and tech-enabled asset management, the sector’s ability to harness AI hinges on foundational data accuracy and completeness. This is particularly salient in hospitality, where fragmented systems and legacy platforms often impede real-time insights and predictive modeling. The cautionary stance articulated by Agilysys’ Frank Pitsikalis signals that investors and operators should temper expectations around AI-driven value creation until data infrastructure is robust. For allocators and lenders, this highlights the importance of underwriting operational risk linked to technology adoption and the potential for uneven performance across portfolios depending on data readiness. More broadly, it suggests that capital deployment strategies favoring tech upgrades must prioritize data remediation as a prerequisite, rather than an afterthought, to fully realize AI’s promise in enhancing asset-level decision-making and tenant experience.

Editorial analysis · AI-assisted

External link. Real Estate Trail does not republish source content.