Most AI and data projects don’t fail because the technology isn’t good enough.
They fail because the work around them isn’t set up properly.
In this episode of The AI Opportunity, Kenny sits down with Mark Daniel Ward and Katherine Sanders from The Data Mine at Purdue University to talk about what actually makes AI, LLM, and data projects succeed once you move past experimentation.
What I really liked about this conversation is how execution focused it is. They get into ownership, timelines, checkpoints, and how leaders can tell whether a project is genuinely ready to scale or whether it should be stopped early.
It’s a very honest look at how these initiatives run inside real organisations, not just how they look in slide decks.
If you’re a CEO, COO, or CFO trying to move an AI project from idea to impact, this episode is well worth your time.
Available now on Spotify, Apple Podcasts, and YouTube.
