How to report the progress of your AI project?

FAQs for AI Zero → One (Episode #7)

Transcript

Hey, everyone. Welcome to episode number seven, where we cover FAQs in going from zero to one in AI. Today’s question is how to report progress on your AI project. Now, the reason this question comes up is traditionally in software, or software engineering, we’ve got really good in how we define, break down the problem, and execute. And you typically have software [00:00:30] projects that go more or less in a straight line, right? Where you have a well-defined set of tasks, and milestones defined.

When you are missing those milestones in a timely fashion, that’s where you use the red, yellow, and green status. The project is in red if it has completely lost track. Yellow, potentially losing track of what was envisioned versus what is happening. And green means on track, [00:01:00] will deliver, and so on.

Now, when you think about an AI project, this approach is n-, is, you know, not very sufficient. In fact, it’s useless. And, and the reason is within an AI project, you have a whole bunch of different unknowns. Firstly, you have the data, the dataset, and the data features. The other dimension is the model space…