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"My data is too messy for AI."
We hear it on almost every call. Barry Chiu thinks it's the wrong way round.
Consider this a contractor's guide to data and AI.
Nobody has clean data at the raw level. Not one contractor.
You can't know how bad yours is until it's all in one place and you can put the systems side by side.
When you find that job numbers don't match across two systems, that's your first win, not a setback.
His line on it: "you're already a step ahead of a lot of people, because people are not even aware of how bad the data is."
Waiting until your data is clean means waiting forever.
In today's episode of Bricks & Bytes, we sit down with Barry Chiu, CEO and co-founder of Kroo, to unpack why the obsession with "clean data" is holding contractors back from using AI.
Full episode out on YouTube and Spotify! Link in comments.
#construction #constructiontech #ai #aec #bricksandbytes
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00:00 Intro
01:12 How the company grew and where it is now
03:39 What AI actually does in construction tech today
06:54 Why construction data is useless without context
09:13 Connecting data across your project systems
10:08 Sponsors
13:09 Real customer examples of unified project data
15:33 Why construction data management is so hard
18:05 AI readiness: what you need in place first
23:24 How to build a strong construction data foundation
24:37 Data permissions and security in construction software
26:24 Should you use third-party data tools?
28:41 Why subcontractors are winning with tech
29:59 Data sovereignty and competitive advantage explained
31:07 How to get real value out of your data
32:59 Questions to ask a software vendor before you buy
34:52 What's next for Crew and AI in construction
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