Overview

Follow a step-by-step, hands-on approach to building production-ready enterprise cognitive virtual assistants using Google Dialogflow. This book provides an overview of the various cognitive technology choices available and takes a deep dive into cognitive virtual agents for handling complex real-life use cases in various industries such as travel and weather. You'll delve deeper into the advanced features of cognitive virtual assistants implementing features such as input/output context, follow-up intents, actions and parameters, and handling complex multiple intents. You'll learn how to integrate with third-party messaging platforms by integrating your cognitive bot with Facebook messenger. You'll also integrate with third-party APIs to enrich your cognitive bots using webhooks. Cognitive Virtual Assistants Using Google Dialogflow takes the complexity out of the cognitive platform and provides rich guidance which you can use when developing your own cognitive bots. The book covers Google Dialogflow in-depth and starts with the basics, serving as a hands-on guide for developers who are starting out on their journey with Google Dialogflow. All the code presented in the book will be available in the form of scripts and configuration files, which allows you to try out the examples and extend them in interesting ways. What You Will Learn Develop cognitive bots with Google Dialogflow technology Use advanced features to handle complex conversation scenarios Enrich the bot's conversations by understanding the sentiment of the user See best practices for developing cognitive bots Enhance a cognitive bot by integrating with third-party services Who This Book Is For AI and ML developers.

Full Product Details

Author:   Navin Sabharwal ,  Amit Agrawal
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.454kg
ISBN:  

9781484257401

ISBN 10:   1484257405
Pages:   192
Publication Date:   17 March 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Chapter 1: Introduction to Cognitive Virtual BotChapter Goal: To introduce the basics of Cognitive Virtual Bot 1.1 What is Cognitive Chatbot Chapter 2: Introduction to Google DialogflowChapter Goal: To introduce the basics of Google Dialogflow 2.2 What is Google Dialogflow2.3 Use cases for Google Dialogflow2.4 Bot Frameworks2.5 Building your First Bot using Google Dialogflow Chapter 3: Advanced Concepts of Google DialogflowChapter Goal: Details how to build a chatbot with Google Dialogflow3.1 Input context and output context3.2 Follow up intents3.3 Multiple responses3.4 Contextual entities3.5 Handling combination of intents and entities3.6 Event creation3.7 Enable fulfillment - webhook and inline editor3.8 Slots 3.9 Handling intent conflicts3.10 Showcasing the solutions in various formats like Text, HTML and to integrations such as Google Assistant3.11 Multi-lingual chatbots3.12 Prebuilt agents Chapter 4: Use cases for Cognitive Chatbots using Google DialogflowChapter Goal: Provide different use cases and integrations for Cognitive Chatbots using Google Dialogflow.4.1 Chatbot personality via webhook4.2 Simple and complex dialogflow design for travel use case4.3 Integration with Google weather API.4.4 Additional integrations4.5 Intent Identifications - audio, speech responses and sentiment analysis4.6 Integrate Google Dialogflow with other services to enhance the conversational flow and search Chapter 5: Researches in field of Cognitive Virtual ChatbotsChapter Goal: Provides an introduction to the new researches in the areas of Cognitive Virtual Chatbots5.1 Cognitive Virtual Chatbots - research

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Author Information

Navin Sabharwal is an innovator, thought leader, author, and consultant in the areas of AI, machine learning, cloud computing, big data analytics, and software product development. He is responsible for IP development and service delivery in the areas of AI and machine learning, automation products, GCP, cloud computing, public cloud AWS, and Microsoft Azure. Navin has created niche award-winning products and solutions and has filed numerous patents in diverse fields such as IT services, assessment engines, ranking algorithms, capacity planning engines, and knowledge management. Amit Agrawal is a principal data scientist and researcher delivering solutions in the fields of AI and machine learning. He is responsible for designing end-to-end solutions and architecture for enterprise products.

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