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The 'last-mile' data problem is stalling enterprise agentic AI — 'golden pipelines' aim to fix it

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The 'last-mile' data problem is stalling enterprise agentic AI — 'golden pipelines' aim to fix it

Here is what the page “The 'last-mile' data problem is stalling enterprise agentic AI — 'golden pipelines' aim to” contains. 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 inte Nova Global News curates publicly available headlines and summaries with source attribution.

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