Finance operates as a deterministic system where inputs produce consistent outputs, while AI is fundamentally non-deterministic, meaning it produces probabilistic results that can vary even with identical inputs; however, this difference can be managed by training AI systems like new analysts, teaching them institutional knowledge, tools, formats, and style guidelines over time to achieve consistent, reliable outputs.
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Finance is deterministic. AI is non-deterministic.Added:
Finances is deterministic, and AI is fundamentally non-deterministic. It's a probability. So, you know, there's always a chance that that the answer is going to be slightly different. So, you can ask a question, you know, the same question over and over again, you'll get a slightly different answer. But, the way we'll we'll sort of take these firms through this process is it's it's sort of similar to the way you might have, you know, if you ask three analysts on your team a question, you know, they're all going to give you slightly different answers. And just like you can train that analyst over time, you can train AI. You know, if Einstein starts at the bank tomorrow, Einstein is super super smart, but Einstein doesn't know how to use FactSet. Doesn't know how to, you know, fetch multiples or spread comps, or, you know, Einstein doesn't know the way a particular bank likes to present their information, or the the color palette they want to use, or the the lo- the way they like to have logos on the slide. And so, you can teach AI all of this over time.
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