Most GTM strategies are still built on instinct, lagging indicators, and fragmented data. But in a market where timing, targeting, and efficiency define growth, that approach is starting to break. This session explores how machine learning is reshaping GTM decision-making - from identifying high-propensity buyers to prioritising pipeline, forecasting more accurately, and guiding where to invest for maximum return. You’ll walk away with a clearer view of how to move from reactive planning to data-driven execution, and what it takes to embed ML into your GTM strategy without adding unnecessary complexity.