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 "reporting integrity." Instead of treating data preparation as a separate discipline, golden pipelines integra…
AI brief
Pulse reads the full article- What happened
- Why it matters
- What to watch
Sign in to get the AI brief. Pulse explains what happened, why it matters, what to watch and who's exposed. Free for members.
Sign in to read the brief