L’avenir de l’apprentissage : comment l’IA révolutionne l’éducation

The Future of Learning: How AI is Revolutionizing Education

Les universités, les entreprises EdTech et les programmes de formation en entreprise utilisent la voix IA pour proposer un enseignement personnalisé à grande échelle, toucher un public mondial instantanément et créer des expériences d’apprentissage que les étudiants terminent vraiment. Découvrez comment ils créent des agents pédagogiques IA et des contenus accessibles qui transforment les résultats des élèves — et comment vous pouvez faire de même. Dans cette session, vous apprendrez à : Personnaliser la formation — Démonstrations en direct montrant comment la voix IA offre un accompagnement personnalisé à chaque apprenant, sans augmenter les effectifs Découvrir ce qui fonctionne vraiment — Exemples concrets de StudyLab AI, MasterClass et Supernova sur l’utilisation de la voix IA pour garder les étudiants motivés et engagés Atteindre tous les apprenants, partout — Transformez vos supports de cours en audio pour les étudiants malvoyants et traduisez vos contenus en plus de 30 langues en quelques jours Que vous développiez des applications pour le primaire et le secondaire, des programmes universitaires, des formations en entreprise ou des plateformes grand public, vous repartirez avec des stratégies concrètes, de vrais témoignages clients et une feuille de route claire pour démarrer avec ElevenLabs.

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24 février

Leading with AI: How Klarna Rebuilt Marketing with AI

AI has changed what's possible in marketing. Klarna is proof of what happens when a team actually runs with it. In this session, Luke Harries (Head of Growth, ElevenLabs) sits down with David Sandström (CMO, Klarna) for one of the most tactical conversations in AI marketing. We're skipping the theory and going straight to the workflows — the exact processes, tools, and team structures behind one of the most significant AI transformations in marketing today. What you'll learn How Klarna rebuilt core marketing workflows with AI from the ground up The tools, processes, and team structures that made it possible How they drove organization-wide AI adoption — and what most companies get wrong Why creativity is becoming the last true differentiator in the AI era Tactical takeaways you can bring back to your own team

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25 février

Building Voice Agents That Actually Sound Human

Imagine voice agents that are so expressive, they blur the line between AI and a human conversation - staying calm under pressure, de-escalating tense moments, and guiding customers to a clear resolution. Introducing Expressive Mode for ElevenAgents: unprecedented control over tone and delivery, so your agents can adapt to real customer emotion and respond at exactly the right moment - helping customers feel helped, not processed. Expressive Mode is powered by two upgrades built to work seamlessly together inside our vertically integrated ElevenAgents platform: Eleven v3 Conversational — our most emotionally intelligent, context-aware TTS model, optimized for real-time dialogue A new turn-taking system — better-timed responses with fewer interruptions, so conversations flow naturally Because Expressive Mode is integrated end-to-end within ElevenAgents, it can use real-time signals (emotional cues + speech patterns) to infer how something is said — not just what was said — and decide when the agent should speak, pause, or wait. The result: more human timing, especially in emotionally charged situations. In this session, we’ll show you how to use Expressive Mode to deploy emotionally expressive agents that sound on-brand, respond naturally, and adapt to real customer emotion — without increasing your per-minute cost. What you’ll learn 1. Build experiences customers actually appreciate - how expressive tone + natural timing improves trust, satisfaction, and engagement 2. See it in action - live demos of Expressive Mode handling real customer moments (frustration, urgency, confusion and even humor) 3. A practical rollout playbook - what to test, what to measure (CSAT/NPS, containment, conversion), and how to iterate fast

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