Rade Petrovic
成为会员时间:2020
钻石联赛
4080 积分
成为会员时间:2020
本课程将介绍 Gemini Enterprise for Customer Experience (GECX) 及其强大的生成式 AI 功能,帮助您转变对客户服务的理解。首先,您将了解联络中心的发展历程,了解它们是如何演变的,以及生成式 AI 将如何推动它们进一步发展。然后,您将深入了解 GECX 解决方案中的核心智能模块,了解每个组件如何帮助提供卓越的客户体验。课程最后将探索极具说服力的 GECX 业务案例,以及实际用例和受益于这一创新解决方案的各种用户角色。
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,并了解如何使用语言模型构建具有确定性的聊天和语音体验。探索驱动因素、意图和实体等关键概念,以及如何使用这些概念来创建对话智能体。