Thanks to everyone who showed up to the live today!
In 2015, a group of Google engineers published a paper called Hidden Technical Debt in Machine Learning Systems. Their conclusion was that a mature AI system is at most 5% model and at least 95% the infrastructure around it.
That small box is the part we all discuss. Which model, how capable it is, what it scored on the benchmark. The 95% around it is what determines whether an AI project works once it’s inside your company.
This week’s live session gives non-technical leaders a way to see that 95%.
You take any AI project, break it into five layers, and ask your technical teams one question about each.
You can watch the recording above and follow along with this deck here.
Tomorrow I’m publishing the build that turns all of this into a tool you keep, called ‘The Complete AI Infrastructure Briefing Tool: Build It Live, Deploy It This Week’. Today you got the five layers. Tomorrow we build the tool together, so you drop in the answers you gather from your team, and it produces a finished briefing, each layer flagged and formatted, ready to put in front of leadership this week.
If you’ve ever sat in a meeting nodding along to an AI project you couldn’t quite see inside, this is the one that changes that for good.
See you tomorrow, Hodman
