ON THIS EPISODE ➤ Why 95% of enterprise AI implementations fail (MIT study insights) ➤ The confusion matrix framework for evaluating AI vendors ➤ How to approach AI as an automation problem, not magic ➤ Red flags when AI salespeople make unrealistic promises ➤ Data quality as the foundation for successful AI adoption What happens when a data scientist turned CIO reveals the brutal truth about AI adoption? Jaron Jones, data scientist turned CIO and university instructor, breaks down why most companies are failing spectacularly with AI implementation. With a recent MIT study showing 95% of Agentic AI projects either...