Is there a reason I'd use this approach over a process mining / log mining system? I feel like it needs me to guess the right question to get an answer.
Well, I've been trying really hard not to point it out because I don't want this to be like a commercial. :) But, the idea here is that the Zebrium ML picks the incident lines unsupervised; then, the GPT-3 model creates the summary unsupervised. So I guess the combination is what we've been working on in a private beta, so that the user can get the best of both worlds.
