Rade Petrovic
Member since 2020
Diamond League
4080 points
Member since 2020
本課程將介紹 Gemini Enterprise for Customer Experience (GECX) 及其強大的生成式 AI 功能,顛覆您對客服的認知。首先,您將回顧客服中心的發展歷程,瞭解這類機構的演變,以及生成式 AI 如何推動其發展。接著,課程會深入探討 GECX 解決方案的核心要素,看看各元件如何發揮功用,進而提供卓越的客戶體驗。最後,則會介紹 GECX 能為企業帶來哪些重要商業價值,並說明如何規劃實際應用方式與各類使用者角色,以便運用這項創新解決方案創造效益。
Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.
In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
Building a Conversational Interface with Dialogflow CX Building conversational interfaces will enable you to engage your constituents in delightful new ways. This section will provide an overview of Dialogflow CX, which provides a range of new capabilities, languages, and functions. Scaling Equity and Access with Enterprise Translation Hub Accurate, timely and cost effective document translation has long been a challenge to providing equitable and accessible service to all constituents. In this section, explore Google's Enterprise Translation solutions which provide scalable document translation leveraging best in class Artificial Intelligence and Machine Learning, while retaining the critical human in the loop for final post editing review.
探索 Conversational Agents 中的流程、瞭解如何運用語言模型打造回應穩定的對話與語音體驗,並探討互動原因、意圖和實體等基本概念,以及如何運用這些概念建立對話式代理。