The real treasure is the data — and knowing what to do with it

Learning from people. At least you've got that much sense. Too many people think the AI IS the teacher. It's not. It's a calculator. A very fancy calculator. The thinking is still on you.

A fancy calculator. Heh. I like that. But it's a calculator that can read, write, and hold a conversation. That's more than fancy — that's transformative. Even an old prospector like me can see the value in a tool that helps me think through problems faster.

So what's the practical takeaway here? If I'm starting fresh with data analysis and AI tools, what should I actually do first?

Know your data. Before you touch a single tool, understand what information you have, where it lives, and what it means. THEN start building. Too many people reach for the hammer before they've figured out what they're building.

Sound advice. And get your basics right — clean data, clear questions, simple workflows. The AI Director site has good practical material on building data workflows. Start there, learn the patterns, then adapt to your situation.

Clean data, clear questions, simple workflows. And then iterate? Build something small, learn from it, build something better?