德国电信用AI重构电信服务：实时翻译与通话摘要

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We have 40 million opportunities across Europe every year to either delight or disappoint our customers. So the idea now that we can use opening our models to fundamentally bring that into the core where customers are speaking millions of times every day. Things like live translation, things like in call assistance, things like post call summarization. What we are seeing is containment rates of up to 50% and NPS of about 22 which is not fantastic yet.

What would previously have taken previously have taken us hours actually can be done in minutes now and that's a huge saving from us from an up ex perspective but also from a customer experience perspective as well. You provide us the pipe with the intelligence and it's for us to now deploy it inside our organization. I think it's fantastic working with open AI. I think the quality of the team, the quality of the engineering talent, the ability for having your folks essentially is an extension of of our team has been fantastic.

The idea of the knowledge transfer that happens when your folks are working closely with my folks is [music] fantastic and that goes beyond the end of a project and is far more efficient. We're on a path here where this these platforms will ultimately be able to outperform the human agents that we have at least in this context.

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