Table of Contents

Table of Contents

Table of Contents

Table of Contents

Somewhere right now, a leadership team is approving budget for a machine learning team, and nobody in the room can name the decision the models will make. The demos were dazzling, a competitor has just announced an “AI-first strategy”, and the board has started asking what ours is. The plan almost writes itself: hire a head of data science, recruit a few scientists, choose a platform. It feels less like a decision and more like a deadline. This post is the pause button, written for the people in that room: the honest signals that you need machine learning, the equally honest signals that you don’t yet, and the pitfalls waiting for the teams that skip the question.

Intro