The Big Bet on Data-Informed Design
Part 2 of 2. Corporate real estate has no data foundation for the AI era. Microsoft may have already built one, almost by accident. Where the evidence for these decade-long bets already sits.
My writings on data strategy, AI, governance, and how to turn data into a strategic asset that informs every decision.
Part 2 of 2. Corporate real estate has no data foundation for the AI era. Microsoft may have already built one, almost by accident. Where the evidence for these decade-long bets already sits.
Part 1 of 2. Everyone is asking how much office space to cut. Almost nobody is asking whether voice-first AI collaboration means we need more, not less.
Six personal projects, six rungs of a ladder. Vibe coding gets you to the bottom fast. Getting further up is a different game entirely.
Five habits that get more out of AI assistants like ChatGPT, Claude and Copilot. None of them are about the model.
Five iterative steps from raw data to certified, boardroom-ready insight. The canonical reference.
Six principles for how a data and analytics team should actually work. Design out, ship in.
Why Large Language Models depend on semantically conformed data — and why Step 2 is the AI-readiness gate.
Step 1 deep-dive. The deliberate refusal to start until the question is properly defined.
Step 5 deep-dive. Explicit verdicts, visible marks, no soft sign-off.