The ‘last-mile’ data problem is stalling enterprise agentic AI — ‘golden pipelines’ aim to fix it
via vow.app
Short excerpt below. Read at the original source.
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 “reporting integrity.” Instead of treating data preparation as a separate discipline, golden pipelines integrate normalization […]