ROI for AI: Why Most Projects Fail (and How to Get Yours Right)
About this episode
This episode discusses the high failure rate of AI projects and offers strategies for achieving better ROI through practical approaches.
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.
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