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Real-Time Translation for Contact Centers

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Be a part of Kieran Devlin from UC As we speak as he sits down with Gonçalo Gaiolas, Chief Product Officer at DeepL, to debate the corporate’s strategic enlargement from text-based translation to real-time voice.

As DeepL introduces its new Voice API, this session explores why this know-how is a game-changer for enterprise contact facilities. It’s not nearly changing phrases; it’s about capturing intent, tone, and the human aspect in high-stakes buyer interactions.

On this session, we transfer past the hype of generalist LLMs to know why specialised AI is essential for mission-critical enterprise communications. Gonçalo breaks down how DeepL is tackling the distinctive challenges of voice translation—from preserving emotional nuance to adhering to strict information sovereignty legal guidelines.

Key dialogue factors embody:

Fixing the “Empathy Hole”: How DeepL’s Voice API permits brokers to listen to unique audio cues (like sarcasm or hesitation) alongside the interpretation, making certain they don’t miss the human context behind the phrases.
From Value Heart to Income Generator: Why enabling brokers to talk of their native language reduces cognitive load, resulting in increased name completion charges and higher gross sales outcomes.
The Finish of Language-Based mostly Geographies: How real-time voice translation permits Operations Administrators to rent for expertise quite than language abilities, doubtlessly reshaping the bodily footprint of worldwide contact facilities.
Safety within the Age of Voice: A have a look at how DeepL applies its rigorous European privateness requirements—together with information minimization and no-training insurance policies—to delicate biometric voice information.

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