1 link tagged with all of: analytics + context-engineering + ai-agents + data-governance + data-science
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This article argues that data teams should transition to context engineering, integrating data governance, engineering, and science to create reliable knowledge sources for AI agents. It highlights the need for a structured context stack to ensure accurate answers and effective performance from these agents.
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