The ‘last-mile’ data problem is stalling enterprise agentic AI — ‘golden pipelines’ aim to fix it
Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving operational data for model inference in real-time. Empromptu calls this distinction “inference integrity” versus…