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The definitive guide to conversational AI with Dialogflow and Google Cloud : build advanced enterprise chatbots, voice, and telephony agents on Google Cloud /
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 Googl...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Berkeley] :
Apress,
[2021]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 020 | |a 9781484270141 |q (electronic bk.) | ||
| 020 | |a 1484270142 |q (electronic bk.) | ||
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| 020 | |z 1484270134 | ||
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| 100 | 1 | |a Boonstra, Lee, |e author. | |
| 245 | 1 | 4 | |a The definitive guide to conversational AI with Dialogflow and Google Cloud : |b build advanced enterprise chatbots, voice, and telephony agents on Google Cloud / |c Lee Boonstra. |
| 264 | 1 | |a [Berkeley] : |b Apress, |c [2021] | |
| 264 | 4 | |c ©2021 | |
| 300 | |a 1 online resource : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 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. What You Will Learn 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 Who This Book Is For Everyone interested in building chatbots for web, social media, voice assistants, or contact centers using Google's conversational AI/cloud technology. | ||
| 588 | |a Online resource; Title from title page (viewed June 23, 2021). | ||
| 505 | 0 | |a Intro -- Table of Contents -- About the Author -- About the Technical Reviewers -- Acknowledgments -- Introduction -- Chapter 1: Introduction to Conversational AI -- The History of Text Chatbots -- Why Do Some Chatbots Fail? -- Machine Learning Simply Explained -- Natural Language Processing -- Chatbots and Artificial Intelligence -- Machine Learning and Google -- About Google Cloud -- Open Source -- About Dialogflow -- Dialogflow Essentials and Dialogflow CX -- How Dialogflow Essentials Works -- How the Industry Is Changing Its Complexity -- Where Dialogflow CX Fits In -- Dialogflow CX Explained -- Dialogflow Essentials vs. Dialogflow CX -- About Contact Center AI -- CCAI Architecture -- About Google Cloud Speech Technology -- Cloud Speech-to-Text API -- Cloud Text-to-Speech API -- WaveNet -- Custom Voice -- Other Google Conversational AI Products -- Google Assistant -- Actions on Google -- Actions Builder -- AdLingo -- Chatbase -- Duplex -- Meena & amp -- LaMDA -- Summary -- Further Reading -- Chapter 2: Getting Started with Dialogflow Essentials -- Dialogflow Essentials Editions -- Creating a Dialogflow Trial Agent -- Creating Dialogflow Agents for Enterprises -- Quotas -- User Roles and Monitoring -- Using VPC Service Controls -- Using Developer Features -- Configuring Your Dialogflow Project -- General -- Languages -- ML Settings -- Automatic Spell Correction -- Automatic Training -- Agent Validation -- Export and Import -- Environments -- Speech -- Improve Speech Recognition Quality -- Enable Enhanced Speech Models and Data Logging -- Enable Auto Speech Adaptation -- Text to Speech -- Enable Automatic Text to Speech -- Voice Configuration -- Share -- Advanced -- Configuring Your Dialogflow for Developers -- Summary -- Further Reading -- Chapter 3: Dialogflow Essentials Concepts -- Intents in Depth -- Setting Up Intents -- Entities in Depth. | |
| 505 | 8 | |a Creating Custom Entities -- Advanced Custom Entities -- Creating Intents with Entities in Training Phrases -- Keeping Context -- Setting Up Follow-Up Intents -- Manually Setting Input and Output in "Normal" Intents -- Lifespan -- Keeping Context with the SDK -- Testing in the Simulator -- Summary -- Further Reading -- Chapter 4: Building Chatbots with Templates -- Creating Prebuilt Agents -- Enabling Small Talk Modules -- Creating an FAQ Knowledge Base -- Best Practices -- Convert Knowledge Base Questions to Intents -- Summary -- Further Reading -- Chapter 5: Bot Management -- Agent Validation -- Understanding Validation Results -- Validation via the SDK -- Improve the Dialogflow Machine Learning Model with Built-in Training -- Summary -- Further Reading -- Chapter 6: Deploying Your Chatbot to Web and Social Media Channels -- Integrating Your Agent with Google Chat -- Enabling Your Agent in the Google Chat -- Rich Messages Support -- More Text-Based/Open Source Integration Options -- Integrating Your Agent with a Web Demo -- Integrating Your Agent with a Dialogflow Messenger -- Changing the Look and Feel of the Chatbot Component -- Rich Messages Support -- Summary -- Further Reading -- Chapter 7: Building Voice Agents -- Building a Voice AI for a Virtual Assistant Like the Google Assistant -- Rich Messages -- Fulfillment and Webhooks -- Invoke Your Action on the Google Assistant with Explicit and Implicit Invocation -- Submitting an Action via Actions on Google -- Building an Action with the Actions SDK -- Using the Actions SDK Solution -- Deploying Your Action -- Building a Callbot with a Phone Gateway -- Response Messages for the Phone Gateway -- Building Bots for Contact Centers with Contact Center AI -- Enabling Contact Center AI -- Improving Speech to Text Quality -- Custom Entities Hints -- System Entities Hints -- Intent Hints. | |
| 505 | 8 | |a Overriding Speech Hints in Your Code -- Fine-Tuning the Text to Speech Output of Voice Bots with SSML -- UX Design for Voice Dialogues Matters! -- Text to Speech Voices -- Controlling the Intonation -- Summary -- Further Reading -- Chapter 8: Creating a Multilingual Chatbot -- Agent Languages -- Building a Multi-language Agent -- Exporting a Multi-language Dialogflow ES Agent -- Detecting Multi-language Intents via the SDK -- Working with the Translation Service -- Summary -- Further Reading -- Chapter 9: Orchestrate Multiple Sub-chatbots from One Chat Interface -- Creating a Mega-Agent -- Using the SDK -- How Billing Works -- Summary -- Further Reading -- Chapter 10: Creating Fulfillment Webhooks -- An Introduction to Fulfillment Webhooks -- Building a Fulfillment with the Built-in Editor -- Enable Fulfillment -- Using the dialogflow-fulfillment Package -- Diagnostic Info -- Firebase Logs -- Using Actions on Google for Building Dialogflow Fulfillment -- Build Your Fulfillment Webhook Manually -- Building Fulfillments Webhook -- Where to Run My Back-End Code? -- Cloud Functions -- App Engine (Flexible Environment) -- Cloud Run -- Kubernetes Engine -- Compute Engine -- Enable Webhooks -- Cloud Function Implementation -- Express Implementation (with Cloud Run) -- Google Cloud Logging -- Building Multilingual Fulfillment Webhook -- i18n Code Example -- Using Local Webhooks -- Ngrok -- Testing Your Fulfillment Without Dialogflow and ngrok -- Securing Webhooks -- Basic Authentication -- Authentication with Authentication Headers -- Mutual TLS Authentication -- Valid Secure SSL Certificate -- Root CA -- HTTPS Authentication Setup with Apache -- A Full Example for Setting Up Mutual TLS Authentication -- Create a Node.js VM on Compute Engine -- Attach a Domain Name to Your VM -- Set Up Your Node Application -- Set Up mTLS -- Summary -- Further Reading. | |
| 505 | 8 | |a Chapter 11: Creating a Custom Integration with the Dialogflow SDK -- Implementing a Custom Chatbot in Your Website Front End, Setup -- UI Implementation -- Back-End Implementation -- Welcome Message -- Creating Rich Responses in Your Chatbot Integration -- A Hyperlink Component, a Google Map, and an Image Component -- Implementation -- Using Markdown Syntax and Conditional Templates in Your Dialogflow Responses -- Branching the Conversation -- Building an Integration to Run a Dialogflow Agent in a Native Mobile Android or iOS App with Flutter -- Two Techniques for Integrating Dialogflow in a Flutter Application -- Integrating the Dialogflow SDK Directly into Your Flutter App -- A Flutter App That Communicates with a Back-End Dialogflow SDK App -- Summary -- Further Reading -- Chapter 12: Implementing a Dialogflow Voice Agent in Your Website or App Using the SDK -- Reasons for Not Picking Google Assistant -- Building a Client-Side Web Application That Streams Audio from a Browser Microphone to a Server -- Build the Front End -- Short Utterance vs. Streaming -- Record Single Utterances -- Record Audio Streams -- Building a Web Server That Receives a Browser Microphone Stream to Detect Intents -- Dialogflow vs. Text-to-Speech API vs. Speech-to-Text API -- Speech-to-Text API -- Text-to-Speech API -- Build the Back End -- API Calls to Dialogflow -- DetectIntent -- StreamingDetectIntent -- Retrieving Audio Results from Dialogflow and Playing It in Your Browser -- Client-Side Code to Play the Audio -- Summary -- Further Reading -- Chapter 13: Collecting and Monitoring Conversational Analytics -- Conversation-Related Metrics -- Customer Rating Metrics -- Chat Session and Funnel Metrics -- Bot Model Health Metrics -- Capturing Conversation-Related Metrics to Store in BigQuery -- BigQuery -- Capture Points -- Session Id -- Date/Timestamp -- Sentiment Score. | |
| 505 | 8 | |a Language and Keyword -- Platform -- Intent Detection -- Solutions -- Building a Platform for Capturing Conversation-Related Metrics and Redacting Sensitive Information -- Detecting User Sentiment -- Topic Mining -- Collecting Customer Rating Metrics -- Net Promoter Score (NPS) -- Customer Satisfaction (CSAT) -- Customer Effort Score (CES) -- Monitoring Chat Session and Funnel Metrics with Dialogflow, Chatbase, or Actions on Google -- Metrics to Monitor -- Total Usage -- Percentage of Users That Matches the Intent -- Completion Rate -- Drop-Off Rate/Drop-Off Place -- Channel-Specific Metrics to Monitor -- User Retention -- Endpoint Health -- Discovery -- Dialogflow Built-in Analytics -- Monitoring Metrics with Chatbase -- Analytics on Actions on Google -- Capturing Chatbot Model Health Metrics for Testing the Underlying NLU Model Quality -- True Positive-A Correctly Matched Intent -- True Negative-An Unsupported Request -- False Positive-A Misunderstood Request -- False Negative-A Missed Request -- True Positive Rate -- False Positive Rate -- ROC Curve -- Accuracy -- Precision -- F1 Score -- Confusion Matrix -- Summary -- Further Reading -- Appendix: An Introduction to Dialogflow CX -- How the Industry Is Changing Its Conversation Complexity -- Where Dialogflow CX Fits In -- Dialogflow CX Features -- New Concepts in Dialogflow CX -- Flows -- Pages -- State Handlers -- Contact Center Features -- Customer-Managed Encryption Keys (CMEKs) -- Where Both Products Differ -- Agents -- NLU -- Analytics -- Entities -- Intents -- Fulfillment and Webhooks -- APIs -- Error Handling -- When to Use Dialogflow CX vs. Dialogflow ES? -- Summary -- Further Reading -- Index. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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