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Your LLM issues are really data issues

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Your LLM issues are really data issues
AI 深度提炼
  • AI和LLM的问题根源在于数据质量而非模型本身。
  • 模式变更和不一致定义会破坏分析和机器学习结果。
  • 企业需采用元数据管理与可观测性提升数据AI准备度。
#AI#数据质量#LLM#元数据
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Your LLM issues are really data issues - Stack Overflow

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April 28, 2026

Your LLM issues are really data issues

Ryan welcomes Harsha Chintalapani, co-founder and CTO at Collate and co-creator of Open Metadata, to the show to discuss why AI and LLMs struggle with real-time, structured production data.

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They explore how schema changes, inconsistent definitions (like “customer”), and weak governance can break both your analytics and MLs, and what companies can do to get their data AI-ready, from metadata management to observability.

Collate is a semantic intelligence platform built on a semantic metadata graph for discovery, governance, and AI observability across your data ecosystem.

Connect with Harsha on LinkedIn.

Congrats to user buttonsrtoys, who won a Famous Question badge for their question Possible to edit PDF without embedded font installed?.

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