AIで教育を変革

2025年3月21日

KnowunityとElsaのトップEdTechリーダーと共に、AI音声技術がコンテンツの拡大、アクセシビリティの向上、学習者のエンゲージメント強化に果たす役割についてのダイナミックなラウンドテーブルディスカッションに参加しませんか。多言語コースのナレーションからインタラクティブな学習アシスタントまで、実際のユースケースを探り、マーケティングやエンジニアリングチームがAI駆動のオーディオを活用して没入型体験を創出する方法を議論します。

その他のウェビナー

9月17日

Getting Started with ElevenLabs: Agents (Testing and Workflows)

Introducing Agent Testing and Workflows to the ElevenLabs Agents Platform Join us for a live walkthrough of ElevenLabs Agents, our conversational agents platform that empowers you to build voice and text agents capable of handling complex tasks, managing tool calls, and escalating seamlessly when needed. Whether you’re exploring conversational agents for the first time or looking to scale existing workflows, this session will show you how to get started with Agents and set up effective, reliable systems. We’ll cover: What ElevenLabs Agents are and how they integrate with our voice technology Building guardrails to ensure safe, reliable agent behavior Using testing and tool calls to handle real-world scenarios (including escalations) How to iterate and improve your agents over time through continuous testing Building complex conversation logic using Workflows This session is ideal for teams curious about conversational agents as well as existing ElevenLabs users looking to expand their use cases into agents.

9月9日

From Pilots to Production: Building Enterprise-grade AI Voice Agents

45-minute session: How to choose the right approach building AI voice agents for your enterprise We’ll break down the trade-offs enterprises face when deploying AI voice agents - from orchestration complexity to latency bottlenecks - and share a decision framework for selecting the best path forward. What you’ll learn: • How leading enterprises are implementing AI voice agents • Live demo + sneak peek into upcoming ElevenLabs Conversational AI features • The tech stack behind production-grade deployments • Key trade-offs in different implementation approaches • How to weigh control, speed to market, and scalability Who should attend: Engineering leads, technical founders, AI and data science leaders, and product managers evaluating enterprise AI voice agents

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