TLDR Tech / Data
Data teams should become context teams
Current AI agents, much like legacy BI tools connected directly to production databases, lack trustworthiness due to ungoverned, noisy knowledge sources. Context engineering is emerging as a new discipline combining data governance, engineering, and data science to build a single, governed, versioned “context layer” for AI. For data teams, this means building ETL, transformation, orchestration, and monitoring for company knowledge sources, with quantitative KPIs such as answer rate, accuracy, speed, and cost, plus bespoke evaluation frameworks to iteratively improve AI agent reliability and efficiency.
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