Chris Daigle on 50 Real World AI Implementations – Epi-3862
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Today we are joined by Chris Daigle to discuss what he has learned from 50 real world AI implementations. These are not lab tests, theory sessions, or corporate guessing games. These are actual deployments inside real companies, with real people, real workflows, real mistakes, and real lessons learned the hard way.
A lot of companies know they should be using AI. Many of them already are, whether leadership knows it or not. Employees are using tools on their own, data is moving around, policies are either weak or nonexistent, and most managers are still pretending this is something they can deal with later. That is a bad plan. AI is already in the building, and the question now is whether it is being used with intention, training, and standards, or if everyone is just winging it.
Chris will help us look at the common problems organizations run into when adopting AI, why using AI often does not mean you are actually good at using it, and why companies need real policies before they create real problems. We will also talk about why AI training matters, why workshops and hackathons tend to work better than boring generic training, and why teams should bring their actual work into the process instead of playing with fake examples that don’t matter.
Chris Daigle is a business strategist with more than 25 years of experience helping companies integrate AI solutions that support growth, efficiency, innovation, and return on investment. His focus is making AI practical and accessible, not turning it into another buzzword parade. Today we dig into what business owners, team leaders, and professionals need to understand if they want AI to become a useful tool instead of an expensive liability.
Resources for today’s show…
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