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jawns ◴[] No.44974805[source]
Full disclosure: I'm currently in a leadership role on an AI engineering team, so it's in my best interest for AI to be perceived as driving value.

Here's a relatively straightforward application of AI that is set to save my company millions of dollars annually.

We operate large call centers, and agents were previously spending 3-5 minutes after each call writing manual summaries of the calls.

We recently switched to using AI to transcribe and write these summaries. Not only are the summaries better than those produced by our human agents, they also free up the human agents to do higher-value work.

It's not sexy. It's not going to replace anyone's job. But it's a huge, measurable efficiency gain.

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dsr_ ◴[] No.44974877[source]
Pro-tip: don't write the summary at all until you need it for evidence. Store the call audio at 24Kb/s Opus - that's 180KB per minute. After a year or whatever, delete the oldest audio.

There, I've saved you more millions.

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andix ◴[] No.44975212[source]
Imagine a follow-up call of a customer. They are referring to earlier calls and the call center agents needs to check what it was about. So they can skim/read the transcripts while talking to the customer. I guess it's really hard to listen to transcripts while you're on the phone.
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1. variadix ◴[] No.44975516[source]
Still makes more sense to do the transcription an analysis lazily rather than ahead of time (assuming you can do it relatively quickly). If that person never calls in again the transcription was a waste of money.