Название: The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots
Автор: Lee Boonstra
Издательство: Apress
Год: 2021
Страниц: 421
Язык: английский
Формат: pdf (true), epub
Размер: 25.0 MB
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.
A chatbot is a user interface designed to simulate conversation with human users online. The word is a combination of the word chat (a conversation) and robot. Conversational user interfaces like chatbots or voice-activated conversational UIs (like Siri, Google Assistant, or Alexa, but also robots in phone conversations) are trendy nowadays. Ten years ago, everyone wanted to build mobile apps; now it’s the time everyone made or is working on conversational user interfaces. A chatbot built with Machine Learning, to be precise, a chatbot that can understand text (Natural Language Understanding), could understand and retrieve a particular answer for your question. No matter if you spell it wrong or say things differently.
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:
This book is written for everyone (practitioners) interested in building chatbots for the Web, social media, voice assistants, or contact centers, using Google’s Conversational AI/Cloud technology. Whether you are a UX designer/linguist, a web/conversational bot engineer, chatbot architect, back-end developer, a project manager, or a business decision-maker, that is, CTO or Chief Innovation Officer, this book is for you. Some topics target engineers. I will share some code and explain what it does. Most of my code examples are written in javascript for Node.js. When you rather program in a different language, my examples will be apparent to understand (and rewrite) to a language of choice.
Автор: Lee Boonstra
Издательство: Apress
Год: 2021
Страниц: 421
Язык: английский
Формат: pdf (true), epub
Размер: 25.0 MB
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.
A chatbot is a user interface designed to simulate conversation with human users online. The word is a combination of the word chat (a conversation) and robot. Conversational user interfaces like chatbots or voice-activated conversational UIs (like Siri, Google Assistant, or Alexa, but also robots in phone conversations) are trendy nowadays. Ten years ago, everyone wanted to build mobile apps; now it’s the time everyone made or is working on conversational user interfaces. A chatbot built with Machine Learning, to be precise, a chatbot that can understand text (Natural Language Understanding), could understand and retrieve a particular answer for your question. No matter if you spell it wrong or say things differently.
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:
Who This Book Is For:
This book is written for everyone (practitioners) interested in building chatbots for the Web, social media, voice assistants, or contact centers, using Google’s Conversational AI/Cloud technology. Whether you are a UX designer/linguist, a web/conversational bot engineer, chatbot architect, back-end developer, a project manager, or a business decision-maker, that is, CTO or Chief Innovation Officer, this book is for you. Some topics target engineers. I will share some code and explain what it does. Most of my code examples are written in javascript for Node.js. When you rather program in a different language, my examples will be apparent to understand (and rewrite) to a language of choice.
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