I distrust A.I, especially with sports data, but do you think utilizing it in conjunction with your database would supercharge your model or ability to refine said model? It feels like at some point in the future that's the way no?
It is important to distinguish between the sub-categories of AI.
Large language models (what everyone is using when doing internet queries) handle unstructured data very well. Especially when there is no one correct answer. They work really well as editors and style coaches for written documents. They work really well for summaries. And they work well to assist with starting points for coding. But they still do particularly poorly at finding a single correct answer in a sea of wrong answers (sports trivia being a prime example). I have been waiting for them to get better at wrestling stats now that
@cowcards has created his invaluable resource, but it has not happened yet.
And when it comes to math LLMs used to make very basic mistakes (did not carry digits) on basic math (since fixed), but when it comes to complex math they tend to punt. For example, I tested ChatGPT (and soon I will be testing Claude) recently by asking it to perform the algebraic expansion I use for calculating the odds of 0-10 AAs - a solved problem with a known equation. Rather than produce the results it produced the Python code you would use to get the results. Not what I asked for, but closely related as long as you have the ability to run Python code.
Machine learning models, on the other hand, can do particularly well at optimizations like what I am doing. The key is picking the right one, or picking the right agent to pick the right one. And there are a lot of technologies that fit in this sub-category. Even a simple linear regression is part of AI. So I can say with a straight face that when I do my surface optimizations I am already using AI.
The other issue is that the data I am using is very structured, and so far, pretty basic. With structured data you only need to go down the more sophisticated machine learning technique route when it gets more granular and sophisticated.