In this episode of The Dashboard Effect, Brick and Landon unpack why so many AI projects fail and how the right data foundation can make all the difference. From breaking down what a semantic model actually is to exploring the role of governance, they explain how structure, quality, and oversight in your data environment directly impact the reliability of AI. Whether you’re an executive planning your first AI initiative or a developer struggling to wrangle messy data, this conversation offers a clear look at what it really takes to make AI work in the real world.
