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

Typical ETL devices like dbt or Fivetran prepare information for coverage: structured analytics and control panels with steady schemas. AI applications require something various: preparing unpleasant, advancing functional information for design reasoning in real-time. Empromptu calls this difference “reasoning stability” versus “reporting stability.” As opposed to dealing with information prep work as a different technique …
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发布者:Juan Estupinan,转转请注明出处:https://robotalks.cn/the-last-mile-data-problem-is-stalling-enterprise-agentic-ai-golden-pipelines-aim-to-fix-it/

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