Equational

How to introduce ML in your company? That is the question that I was asked last Friday. I found myself saying "it is tricky, ML typically comes in a right-angle to the people process, and that does not work!" Right-angle? You might say? And you would be right! Therefore I picked up a deck I wrote last November, kept only the key statements, added the context, and recorded a 17m presentation here: https://www.youtube.com/watch?v=08uEBKft_Bg   which will not tell you "why" but "how", as in "how to introduce machine learning in your company". The finer story here, and not highlighted in the presentation is success with or without machine learning is first about your team maintaining maximum performance throughout the project. See it as a rocket that is maintaining maximum thrust. And for that to happen you must carefully ensure that everyone can invest their maximum with a full understanding of what they and the team wants to achieve. Teams may some...

I was recently approached by an ML company setting up shop in Zurich. To be honest, I’m still not sure if it was a real person, an agent, or just a sophisticated scouting bot. But it sparked the question: What exactly do they see when they look at me? I know I can provide crazy value, but within a certain scope. I also know my digital footprint is sparse. To find out what the world thinks of 'James Litsios,' I went into an anonymous Gemini session and asked a simple question: 'Why would someone hire this man for an ML project?' The answer I got shocked me: a highly accurate "slice" of a man who existed ten years ago.  Let's start with Gemini's response (with some annotations in Blue ).  Then I will update you on how I have evolved my core beliefs from the Gemini expressed basis. Gemini Pro's reply to: Who is James Litsios and why would someone hire him to develop a ML application? Dr. James Litsios is a veteran technologist, architect, and leader b...