95% of Companies See 'Zero Return' on $30B Generative AI Spend

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jawns ◴[21 Aug 25 16:36 UTC] 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_ ◴[21 Aug 25 16:42 UTC] No.44974877[source]▶

>>44974805 #

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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FirmwareBurner ◴[21 Aug 25 17:09 UTC] No.44975321[source]▶

>>44974877 #

>Store the call audio at 24Kb/s Opus - that's 180KB per minute

Why OPUS though? There's dedicated audio codecs in the VoiP/telecom industry that are specifically designed for the best size/quality for voice call encoding.

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pipo234 ◴[21 Aug 25 17:17 UTC] No.44975431[source]▶

>>44975321 #

Opus is one of those codecs. Older codecs like g711 have better latency and steady bitrate, but they compress terribly. (Essentially just bandwidth and amplitude remapping).

Opus is great for a lot of things and realtime speech over sip or webrtc is just one.

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