AI Deployment Stalls: Inadequate Data Infrastructure Impedes Progress

The enterprise AI revolution is stalling at its foundation, with boardroom enthusiasm confronting the stark reality of inadequate data infrastructure. While model providers like OpenAI and Anthropic have captured the spotlight, the primary obstacle to scaled deployment is not algorithm sophistication but data readiness. This shifts the strategic center of gravity from the model layer to the data stack, turning a decade of neglected data governance and siloed systems into the critical bottleneck. This pivot elevates data-centric platforms, echoing the recent surge in Databricks