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· 제목 : The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google (Paperback)
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781484270134
· 쪽수 : 408쪽
· 출판일 : 2021-06-24
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781484270134
· 쪽수 : 408쪽
· 출판일 : 2021-06-24
목차
Chapter 1: Introduction to Conversational AI
Why do some chatbots fail?
Machine learning simply explained
Chatbots and machine learning
Machine learning and Google
About Dialogflow
Dialogflow essentials & Dialogflow CX
About Google Cloud
About Contact Center AI
Other Google conversational AI products
Actions on Google / Action Builder
AdLingo
Chatbase
Duplex
Meena
Summary
Reference
Chapter 2: Getting Started with Dialogflow Essentials
Creating a Dialogflow agent
Creating Dialogflow agents for enterprises
Configuring your Dialogflow project
Summary
Reference
Chapter 3: Dialogflow Essentials Concepts
Setting up intents
Creating custom entities
Creating intents with entities in training phrases
Keeping context
Testing in the simulator
Summary
Reference
Chapter 4: Building Chatbots with Templates
Creating prebuilt agents
Enabling small talk modules
Creating a FAQ knowledge base
Summary
Reference
Chapter 5: Reviewing your Agent
Validating your Dialogflow agent
Reference
Chapter 6: Deploying your Chatbot to Web & Social Media Channels
Integrating your agent with Google Chat
Integrating your agent with a web demo
Integrating your agent with a Dialogflow Messenger
Summary
Reference
Chapter 7: Building Voice Agents
Building a voice AI for a virtual assistant like the Google Assistant
Building a callbot with a phone gateway
Building bots for contact centers with Contact Center AI
Improving speech quality
Fine tuning voice bots with SSML
Summary
Reference
Chapter 8: Creating a Multilingual Chatbot
Building multilingual chatbots
Summary
Chapter 9: Orchestrate Multiple Sub Chatbots from One Chat Interface
Creating a mega agent
Summary
Reference
Chapter 10: Creating Fulfillment Webhooks
Building a fulfillment with the built-in editor
Building multilingual webhook fulfillments
Using local webhooks
Securing webhooks
Reference
Chapter 11: Creating a Custom Integration with the Dialogflow SDK
Implementing a custom chatbot in your website front-end
Creating rich responses in your chatbot integration
Using markdown syntax & conditional templates in in your Dialogflow responses
Summary
Reference
Chapter 12: Implementing a Dialogflow Voice Agent in your Website or App Using the SDK
Building a client-side web application which streams audio from a browser microphone to a server
Building a web server which receives a browser microphone stream to detect intents
Retrieving audio results from Dialogflow and play it in your browser
Summary
Reference
Chapter 13: Collecting & Monitoring Advanced Agent Insights
Capturing conversation related metrics to store in BigQuery
Session Id
Date / time stamp
Sentiment score
Language & keyword
Platform
Intent detection
Building a platform for capturing conversation related metrics and redact sensitive information
Detecting user sentiment
Monitoring chat session & funnel metrics with Dialogflow , Chatbase or Actions on Google
Total Usage
The number of requests the intent was matched to and the percentage of all users that matched the intent.
Completion Rate & Drop off Rate / Drop off Place
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
False positive - A misunderstood request
False negative - A missed request
Accuracy
Precision
F1 score
Confusion matrix
ROC curve
Improve the Dialogflow NLU model with built-in training
Summary
Reference
