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Bricks And Bytes · Yesterday · 34 min

What Construction AI Is Missing: Connecting the Dots With Knowledge Graphs

Twelve months ago, Zaid Kahn said the words "knowledge graph" to us in a Boston office. We nodded. We had no idea what he meant. So we brought him back, with Bogdan Arsintescu, who sat on the original Google Knowledge Graph team and later ran graph systems at LinkedIn and Microsoft. The ask was simple. Explain it like we're five. A knowledge graph is a set of facts. Subject, predicate, object. "Door 105 has a 45 minute fire rating." An ontology is the rulebook. Everyone agreeing what every symbol on a drawing sheet means before anyone reads it. A chatbot context window is a drawing table. If the addendum is in the filing cabinet, it doesn't exist. Bogdan's line of the episode: "Knowledge Graph is just the bullet points." We still don't fully know what ontology means. But we're closer. #constructiontech #ai #aec #preconstruction #bricksandbytesOur Sponsors:Aphex is the multiplayer planning platform where construction teams plan together, stay aligned, and deliver projects faster – check out aphex.coArchdesk - “The #1 Construction Management Software for Growing Companies - Manage your projects from Tender to Handover” check archdesk.com Chapters 00:00 Teaser 01:07 What Is a Knowledge Graph? (Explained Like You're Five) 04:10 Knowledge Graph vs Ontology: The Difference Explained 07:56 Sponsor 10:57 Why Construction Needs Knowledge Graphs (Spec vs Drawing vs Addendum) 14:58 Why ChatGPT Can't Do This: Context Windows Explained 19:11 Knowledge Graphs vs LLMs: Why You Need a Vertical AI 26:43 Preconstruction Risk: Why Bids Go Wrong 29:53 The Future of AI in Construction 32:10 How Neuron Factory Works With Suffolk and GCs

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Twelve months ago, Zaid Kahn said the words "knowledge graph" to us in a Boston office.

We nodded. We had no idea what he meant.

So we brought him back, with Bogdan Arsintescu, who sat on the original Google Knowledge Graph team and later ran graph systems at LinkedIn and Microsoft.

The ask was simple. Explain it like we're five.

  •  A knowledge graph is a set of facts. Subject, predicate, object. "Door 105 has a 45 minute fire rating."

  •  An ontology is the rulebook. Everyone agreeing what every symbol on a drawing sheet means before anyone reads it.

  •  A chatbot context window is a drawing table. If the addendum is in the filing cabinet, it doesn't exist.

Bogdan's line of the episode: "Knowledge Graph is just the bullet points."

We still don't fully know what ontology means. But we're closer.

#constructiontech #ai #aec #preconstruction #bricksandbytesOur Sponsors:Aphex is the multiplayer planning platform where construction teams plan together, stay aligned, and deliver projects faster – check out aphex.coArchdesk - “The #1 Construction Management Software for Growing Companies - Manage your projects from Tender to Handover” check archdesk.com


Chapters

00:00 Teaser

01:07 What Is a Knowledge Graph? (Explained Like You're Five)

04:10 Knowledge Graph vs Ontology: The Difference Explained

07:56 Sponsor

10:57 Why Construction Needs Knowledge Graphs (Spec vs Drawing vs Addendum)

14:58 Why ChatGPT Can't Do This: Context Windows Explained

19:11 Knowledge Graphs vs LLMs: Why You Need a Vertical AI

26:43 Preconstruction Risk: Why Bids Go Wrong

29:53 The Future of AI in Construction

32:10 How Neuron Factory Works With Suffolk and GCs

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