I spent about a decade in breweries — from microbreweries to AB InBev, SABMiller, and United Breweries — before data quietly took over my career. This is the honest, 8-part story of that transformation, written for any brewer wondering if the same path is open to them.
No hype. Where AI helped, I’ll show you. Where it burned me, I’ll show you that too.
The series
- From Brewer to Data Scientist: Why I Traded the Brewhouse for AI — how I got here, and why I never really left brewing behind.
- What Does AI Actually Mean for a Brewer? — it’s the data science you already do.
- Before You Touch AI, Collect Your Data — the unglamorous first step.
- Teaching Myself Data Science as a Working Brewer — the honest learning path.
- My First Real AI Project: Forecasting Beer Demand — what worked, what flopped.
- Where AI Burned Me — hallucinations, bad data, and hype I believed.
- AI Won’t Replace Brewers — the part machines can’t touch.
- Beyond Beer: Taking AI into Wine, Whiskey & Mead — where I’m headed next.
Read them in order, or jump to whatever stage you’re at. Every post in the series is tagged #brewer-to-ai.