From lab to launch: Structuring ML operations for maximum velocity
Hiring data scientists has become the easy part of the AI equation. Every major enterprise now has a brilliant team of PhDs capable of building sophisticated recommendation engines, churn predictors and propensity models in their local environments. But deploying those models? That is where the ROI goes to die. In my experience leading engineering for…

