AI adoption is booming but most initiatives still fail to deliver real ROI. In this episode, Brick and Landon unpack why 60–95% of AI projects miss the mark and what companies can do differently. From the importance of a solid data foundation to starting small with practical use cases, they outline a smarter approach to AI that focuses on results, not hype.

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.

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

Think you need a big BI team and a big budget to get value from your data? Think again. In this episode, Brick Thompson and Landon Ochs share how small professional services firms can start using data effectively—by focusing on one meaningful problem, starting simple, and iterating over time. Hear practical tips, common pitfalls, and a real-world success story that added millions to the bottom line.

At Blue Margin, we help middle-market companies turn their data into a competitive advantage. As a Microsoft Gold Partner specializing in Power BI, we build simple, actionable dashboards that give leaders instant visibility into their business. Our proven process and deep expertise in data strategy help organizations boost accountability, accelerate growth, and achieve their goals—without the complexity or overhead of a full data team.