"Last-Mile" Data Problem Stalls Enterprise Agentic AI Deployments — "Golden Pipelines" Proposed as Fix

Summary

VentureBeat reported on February 19, 2026 that a growing number of enterprise agentic AI deployments are stalling at what practitioners are calling the "last-mile" data problem: companies can engineer clean, stable datasets for dashboards and reporting, but AI agents require something fundamentally different — messy, constantly-evolving operational data made available for real-time model inference. Traditional ETL processes optimized for stable schemas are insufficient for the dynamic data requi