AI models are only as smart as the data behind them. In this session, Sarah Gregory breaks down how to operationalize machine learning for RevOps - from scoring your ICP to routing leads based on propensity to buy. She’ll share the exact frameworks and checklists she’s used to prepare data for predictive scoring, create lightweight models, and make AI actionable in the sales process. You’ll leave with ready-to-use templates to build, test, and iterate - no data science degree required. Key takeaways: - How to structure RevOps data for accurate machine learning and predictive scoring - Practical checklists for cleaning, validating, and maintaining AI-ready data - Lightweight modelling templates to score ICPs, prioritize accounts, and improve conversion rates