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Old May 21, 2023 | 11:10 pm
  #16  
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Originally Posted by IAH-OIL-TRASH
I’d put it another way - there’s little a phone tree can do that AI won’t be able to do. Maybe not “soon”, but there’s a ton of calls UA gets that probably will be handled by AI eventually.
OK, but UA has barely bothered to put a rudimentary phone tree in place. Instead, they've focused on making their self-service web / app tools as good as possible -- arguably industry-leading. AI has its uses, but I'm really not sure phone-based customer service will ever be one of them. Chatbots? Sure, because the chatbot can just bail and say "please connect to a human." But, natural language processing is challenging enough without adding speech recognition over a relatively low-quality audio feed. Text is much simpler than speech.

This latest round of AI-mania has been fueled by large language model tools like ChatGPT. But LLMs would be particularly poorly suited as customer service reps -- they're great for spewing massive amounts of text from a human prompt, but they're less great for actually having that text be meaningful or accurate.

As far as customer service goes, the type of thing that AI might be able to do in the near future, can be done better, today, without AI. Flight status? Phone tree. Reservations? Phone tree. Change to a reservation? Phone tree, and then stay on hold for the rate desk. Etc. You don't need, or want, to have a conversation about unladen swallows with your customer service rep -- you just want to accomplish a task.

Originally Posted by IAH-OIL-TRASH
I think “soon” is the hang up. 5 years? 10 years? 15 years? 25 years ago, if someone told me what I would be able to do now relative to travel online or w/ app, I’d probably have been a bit skeptical.
Online -- I'd have believed it, but 25 years ago I was a CS major. On an app? No way, that's Star Trek.

Originally Posted by IAH-OIL-TRASH
The last couple of years when I was working in oil industry, I was mapping oil/gas reservoir extents and quality using neural network tools and the results bore out better than labor-intensive iterative attribute modeling - and that was 10 years ago. I’m thinking the things I did then would be considered “quaint” now.
Oh, sure, but that's a much, much different problem. The role of AI in the airlines is in Revenue Management, where I suspect they're already using it to a great degree. That's because neural nets are really good at detecting patterns, near real-time, in large amounts of data that humans might miss, so something like RM is a perfect fit. But neural nets are a 30-year-old technology.

Originally Posted by IAH-OIL-TRASH
One thing that would change is “HUACA” - the first answer you get (if AI is done right) should be the actual answer, not an answer or outcome that varies by agent.
The word "if" is doing a lot of heavy lifting in that sentence.
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Old May 21, 2023 | 11:26 pm
  #17  
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Originally Posted by jsloan
The word "if" is doing a lot of heavy lifting in that sentence.
Big time

Yeah, NNs are 30 years old, but figuring out where they could be used productively in some industries took time.
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Last edited by IAH-OIL-TRASH; May 21, 2023 at 11:35 pm
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Old May 22, 2023 | 1:55 am
  #18  
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https://en.m.wikipedia.org/wiki/Arti...neural_network

This is indeed interesting. Yet the greatest limitation on the expansion of overseas call centers may well be potential union contractual limitations alluded to above in Post # 10.

However, simple geography and time-zone issues will mean there is always a place for international call centers.
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