國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Definitive Guide to Conversational AI with Dialogflow and Google Cloud/ by Lee Boonstra.
其他題名:	Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud /
作者:	Boonstra, Lee.
面頁冊數:	XXIII, 408 p. 188 illus., 1 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Professional Computing. -
電子資源:	https://doi.org/10.1007/978-1-4842-7014-1
ISBN:	9781484270141

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

The Definitive Guide to Conversational AI with Dialogflow and Google CloudBuild Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud /[electronic resource] :by Lee Boonstra. - 1st ed. 2021. - XXIII, 408 p. 188 illus., 1 illus. in color.online resource.

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.

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. 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. 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.

ISBN: 9781484270141

Standard No.: 10.1007/978-1-4842-7014-1doiSubjects--Topical Terms:

1115983
Professional Computing.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

The Definitive Guide to Conversational AI with Dialogflow and Google Cloud = Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud /
LDR:04261nam a22003855i 4500 001 1055952
003 DE-He213
005 20210627070952.0
007 cr nn 008mamaa
008 220103s2021 xxu| s |||| 0|eng d
020 $a 9781484270141 $9 978-1-4842-7014-1
024 7 $a 10.1007/978-1-4842-7014-1 $2 doi
035 $a 978-1-4842-7014-1
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Boonstra, Lee. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1361263
245 1 4 $a The Definitive Guide to Conversational AI with Dialogflow and Google Cloud $h [electronic resource] : $b Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud / $c by Lee Boonstra.
250 $a 1st ed. 2021.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a XXIII, 408 p. 188 illus., 1 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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.
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. 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. 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.
650 2 4 $a Professional Computing. $3 1115983
650 1 4 $a Artificial Intelligence. $3 646849
650 0 $a Computer software. $3 528062
650 0 $a Artificial intelligence. $3 559380
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484270134
776 0 8 $i Printed edition: $z 9781484270158
856 4 0 $u https://doi.org/10.1007/978-1-4842-7014-1
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)