Derek Notman argues that AI can process vastly more data than humans and spot patterns in advisor-client relationships. He proposes using large language models on raw client data to predict what makes those relationships work.
Chapters
What AI or machine learning and training large language models can do is that it can help us look for patterns that we would never be able to manually calculate on our own because of the computer processing power that we have today. The amount of data that can be consumed, it's far superior than anything we've ever seen before and it's only going to get faster, which is wild. But we're able to through a recommendation engine you can train a large language model, an LLM and you could put in there, hey, we want to know what makes a successful client advisor relationship. And you can start asking a couple questions and then you put a bunch of raw data in that you have data like we're collecting a coupler and you can ask this thing to now go to work. Hey AI, help us predict, you know, train this model. Let's figure out what's going on and learn more and more about humans behavior.