Paul Raff — Data & AI Strategy
Everyone is racing to adopt AI. The companies that will win aren't the ones with the fanciest models — they're the ones with better data, clearer strategy, and the right partner.
The Thesis
Every company is talking about AI. But most are building on foundations that will fail them — siloed data, undefined metrics, no data culture, and no strategy for what AI is even supposed to do.
The AI winners of the next decade aren't going to be the companies that deployed the most models. They'll be the ones who treated data as a strategic asset first.
That's the shift I help companies make — from AI hype to AI leverage.
"The best AI strategy is almost always a better data strategy in disguise."
What I Do
Why Paul
Experience at large enterprises and fast-moving startups. I know the constraints of each — and what actually moves the needle.
I don't just advise — I build. That means my recommendations are grounded in what's technically feasible, not just theoretically ideal.
I've been thinking about data-centric AI before it was the consensus view. You get a perspective that sees where things are going, not just where they are.
Get In Touch
Whether you're a startup trying to build a data foundation, or an enterprise navigating an AI transformation — I'd love to hear what you're working on.