AI cannot scale without structured data. This session breaks down data models, taxonomies, and structured information in plain contractor language. Participants will see how better data foundations improve estimating, prefab, QA/QC, and closeout and prevent costly fragmentation as AI adoption grows.
Participants will learn:
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Why taxonomies matter for estimating, prefab, QA/QC, and closeout
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How to structure company data for automation and interoperability
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Practical examples of parts, assemblies, work packages, and cost codes
Speakers:
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Jonathan Marsh, Steel Toe Consulting LLC
This session is part of the Seven Points of Clarity: An AI Blueprint for the Construction Industry Virtual Classroom Series. You can register for all HERE or register for individual classes here:
1. Construction AI Roundtable - February 5, 2026 | 3PM ET
2. Everyday AI: Practical Prompting for Real Work – March 5, 2026 | 3PM ET
3. How to Define and Manage AI Initiatives – April 2, 2026 | 3PM ET
4. Boring AI: Automating Repetitive Tasks – May 7, 2026 | 3PM ET
5. Confidence: From Vibe to Value – Coding Faster Than Copy/Paste – June 4th, 2026 | 3PM ET
6. Data Models Demystified: Beyond the LLM Hype – August 6, 2026 | 3PM ET
7. The Effort Equation: How Involved Should You Be? – September 10, 2026 | 3PM ET