Most AI projects don’t fail because of bad tech—they fail because of bad leadership.
In this episode of Dataliction Essentials, John breaks down what really makes or breaks an AI initiative. It’s not about the tools, it’s about ownership, trust, alignment, and translation between business and technical teams. He explores why AI must be treated as a transformation, not a quick win, and how narrowing the focus to specific, measurable problems is the key to real ROI. If your AI strategy is stalling, this one will hit home.
Chapters
00:00 The AI Landscape: Success and Failure
02:52 Ownership and Responsibility in AI Initiatives
06:09 Communication: Bridging the Gap
08:48 Building Trust and Focus in AI Implementation
The Dataliction Podcast—where data meets action. We break down analytics, share real-world stories, and give you the tools to turn your data into decisions that drive real growth. Follow us and keep the conversation going. Enjoy this episode? Leave a review and share it with someone who needs to hear it!
