The Definitive Guide to Conversational AI with Dialogflow and Google Cloud Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud

You will: Discover Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used Create Dialogflow projects for individuals and enterprise usage Work with Dialogflow essential concepts such as intents, entities, custom entities, system entities, composites, and how to track cont...

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Bibliographic Details
Main Author: Boonstra, Lee
Format: eBook
Language:English
Published: Berkeley, CA Apress 2021, 2021
Edition:1st ed. 2021
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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100 1 |a Boonstra, Lee 
245 0 0 |a The Definitive Guide to Conversational AI with Dialogflow and Google Cloud  |h Elektronische Ressource  |b Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud  |c by Lee Boonstra 
250 |a 1st ed. 2021 
260 |a Berkeley, CA  |b Apress  |c 2021, 2021 
300 |a XXIII, 408 p. 188 illus., 1 illus. in color  |b online resource 
505 0 |a Chapter 1: Introduction to Conversational AI -- Chapter 2: Getting Started with Dialogflow Essentials -- Chapter 3: Dialogflow Essentials Concepts -- Chapter 4: Building Chatbots with Templates -- Chapter 5: Reviewing your Agent -- Chapter 6: Deploying your Chatbot to Web & Social Media Channels -- Chapter 7: Building Voice Agents -- Chapter 8: Creating a Multilingual Chatbot -- Chapter 9: Orchestrate Multiple Sub Chatbots from One Chat Interface -- Chapter 10: Creating Fulfillment Webhooks -- Chapter 11: Creating a Custom Integration with the Dialogflow SDK -- Chapter 12: Implementing a Dialogflow Voice Agent in your Website or App Using the SDK -- Chapter 13: Collecting & Monitoring Advanced Agent Insights 
653 |a Artificial Intelligence 
653 |a Professional Computing 
653 |a Computer software 
653 |a Artificial intelligence 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
856 4 0 |u https://doi.org/10.1007/978-1-4842-7014-1?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.3 
520 |a You will: Discover Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used Create Dialogflow projects for individuals and enterprise usage Work with Dialogflow essential concepts such as intents, entities, custom entities, system entities, composites, and how to track context Build bots quickly using prebuilt agents, small talk modules, and FAQ knowledge bases Use Dialogflow for an out-of-the-box agent review Deploy text conversational UIs for web and social media channels Build voice agents for voice assistants, phone gateways, and contact centers Create multilingual chatbots Orchestrate many sub-chatbots to build a bigger conversational platform Use chatbot analytics and test the quality of your Dialogflow agent See the new Dialogflow CX concepts, how Dialogflow CX fits in, and what’s different in Dialogflow CX. 
520 |a It concludes with coverage of more advanced use cases, such as building fulfillment functionality, building your own integrations, securing your chatbots, and building your own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs. After reading this book, you will understand how to build cross-channel enterprise bots with popular Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase.  
520 |a Build enterprise chatbots for web, social media, voice assistants, IoT, and telephony contact centers with Google's Dialogflow conversational AI technology. This book will explain how to get started with conversational AI using Google and how enterprise users can use Dialogflow as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels, and building voice agents including advanced tips and tricks such as intents, entities, and working with context. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud also explains how to build multilingual chatbots, orchestrate sub chatbots into a bigger conversational platform, use virtual agent analytics with popular tools, such as BigQuery or Chatbase, and build voice bots.