In this episode, a Cloud Infrastructure & Product Management leader at Microsoft, with nearly a decade shaping AI solutions at Azure Databricks reveals why the build-versus-buy decision isn’t really about control or cost. It’s about knowing when to invest in in-house expertise versus leveraging existing platforms to move faster. She shares how honesty in a job interview led to an unexpected career managing billions in cloud infrastructure, why most companies underestimate the true cost of data preparation & governance in AI implementation, and the critical difference between getting a proof of concept working versus actually scaling it to production.