The Truth About Company Knowledge. This Is What You're Missing.
Daniel Fallmann, founder of Mindbreeze, argues that most AI projects fail on business knowledge rather than the model. He explains why enterprise AI is really a knowledge problem.
Topics Covered
Show Notes
Armando J. Perez-Carreno talks with Daniel Fallmann, who founded Mindbreeze in 2005, long before anyone was talking about LLMs. Over 21 years he has helped some of the world’s largest companies turn scattered data into knowledge people can actually use.
Daniel makes a bold claim. Most AI projects do not fail because of the model. They fail because the business knowledge is not ready. He breaks down why enterprise AI is really a knowledge problem. From there he covers how “augmented employees” scale your best people across the company, and why access control is the piece too many businesses skip. If you have wondered how to move from fun AI pilots to results you can trust, this one is for you.
Topics Covered
- Why most enterprise AI projects fail on knowledge, not the model
- What it means to get your business knowledge ready for AI
- How “augmented employees” scale your best people
- Why access control matters more than teams expect
- Moving from AI pilots to results you can trust