Скачать или смотреть Structured Data Drives Better AI How Snøhetta Is Using Unstructured Data as a Bridge

AEC Knowledge Management 👉 https://www.knowledge-architecture.com

Discover how AI Search reveals hidden project information in unexpected documents before structured data backfilling is complete. Kate Grimes from Snøhetta explains how unstructured knowledge from town halls, design crits, and proposals serves as a bridge, enabling parallel progress where teams find information without waiting for database completion.

Learn why structured data fields remain essential despite AI's ability to extract from unstructured sources, and how context-rich structured fields produce more reliable answers. Understanding the "AI slot machine" problem—where the same query returns different answers from inconsistent unstructured data—helps AEC leaders balance quick wins with long-term data quality.

Watch the full episode at https://www.knowledge-architecture.co...

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== Timestamps ==
00:00 Finding hidden project information with AI Search at Snøhetta
00:48 Using AI to make data collection less onerous for teams
01:33 People finding information even without complete structured databases
02:05 Progressing in parallel instead of waiting for data completion
02:25 Unstructured vs structured knowledge in AEC project databases
02:52 Why structured data fields produce more reliable AI answers at Snøhetta
03:20 Vetting unstructured data before moving to structured fields
03:36 The AI slot machine problem: inconsistent answers from unstructured data
03:52 Why structured data remains essential for reliable AI search results