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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. 00:00 — Why AI Projects Fail 01:20 — Defining a Data Foundation 01:53 — Data Silos and Lakehouses 03:00 — What Is a Semantic Model 04:27 — Natural Language Querying with Celeste 07:00 — Importance of Data Governance 09:10 — Developer Perspective on Governance 10:30 — Trust, Risk, and AI Adoption Blue Margin helps middle-market companies turn their data into a strategic advantage. Through Power BI solutions and modern data platforms, we make data visible, reliable, and actionable—so your team can make smarter decisions and drive performance. Learn more at https://bluemargin.com