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© 2020

Cognitive Virtual Assistants Using Google Dialogflow

Develop Complex Cognitive Bots Using the Google Dialogflow Platform

Book

Table of contents

  1. Front Matter
    Pages i-xv
  2. Navin Sabharwal, Amit Agrawal
    Pages 1-11
  3. Navin Sabharwal, Amit Agrawal
    Pages 13-54
  4. Navin Sabharwal, Amit Agrawal
    Pages 55-117
  5. Navin Sabharwal, Amit Agrawal
    Pages 119-181
  6. Navin Sabharwal, Amit Agrawal
    Pages 183-186
  7. Back Matter
    Pages 187-192

About this book

Introduction

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.

You will:

  • 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

Keywords

Google Dialogflow Cognitive Virtual Bot Chatbot Cognitive Platform Bot Framework Conversational Services Google Cognitive Services Natural Language Processing Natural Language Understanding

Authors and affiliations

  1. 1.New DelhiIndia
  2. 2.MathuraIndia

About the authors

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.

Bibliographic information