Developing Cognitive Bots Using the IBM Watson Engine

Cognitive Virtual Bots are taking the technology and user experience world by storm. This book provides clear guidance on how different cognitive platforms can be used to develop Cognitive Virtual Assistants that enable a conversation by using DialogFlow and advanced Natural Language Processing. You will start by understanding the technology landscape and various use cases that Cognitive Virtual Assistants can be used in. Early chapters will take you through the basics of Cognitive Virtual Assistants, before moving onto advanced concepts and hands on examples of using IBM Watson Assistant and its advanced configurations with Watson Discovery Services, Watson Knowledge Studio and Spellchecker Service.
You'll then examine integrations that enrich the Cognitive Virtual Assistant by providing data around weather, locations, stock markets. The book concludes by providing a glimpse of what to expect in the future for Cognitive Virtual Assistants.
What You'll Learn

• Review the fundamentals of Cognitive Virtual Assistants.
• Develop a Cognitive Virtual Assistant from scratch using IBM Watson platform.
• Integrate and enrich your Virtual Agent with other services such as weather, location and stocks.
• Instantly deliver your bot on major messaging channels such as Skype, SMS, and Webchat

• Train your Cognitive Virtual Agent on specific use cases. Who This Book Is ForAI and machine learning engineers, cognitive solutions architects and developers would find the book extremely useful

  Explains IBM Watson Assistant with a specific use case for IT and BFSI Explains developing Cognitive Virtual Assistants using DialogFlow and advanced Natural Language Processing Covers advanced AI functions with Watson Discovery Services, Watson Knowledge Studio, and Spellchecker Service

  Autorentext

  Navin Sabharwal: Navin has 20+ years of Industry experience and is an Innovator, Thought Leader, Patent Holder and Author in the areas of Cloud Computing, Artificial Intelligence and Machine Learning, Public Cloud, DevOps, AIOPS, DevOps, Infrastructure Services, Monitoring and Management Platforms, Big Data Analytics, Software Product Development. Navin is Responsible for DevOps, Artificial Intelligence, Cloud Lifecycle Management, Service Management, Monitoring and Management, IT Ops Analytics, AIOPs and Machine Learning, Automation, Operational Efficiency of Scaled delivery through Lean Ops, strategy and delivery for HCL Technologies. He is reachable at Navinsabharwal@gmail.com and https://www.linkedin.com/in/navinsabharwal
  Sudipta Barua: Sudipta has worked across various industries in her career where the focus has been on driving Experiential interface and platforms for the end users. She has worked in roles across Customer Engagements& Centricity, Marketing, CRM & Analytics, PLM & Product Development. In her current role, Sudipta orchestrates at the intersection of digital marketing, creative storytelling, analytics driven content development and experience driven platforms. She has won numerous awards for her work in leveraging different technology products and solutions to elevate the end-user experience. She is reachable at sudipta.barua.13@gmail.com and https://www.linkedin.com/in/sudipta-barua-022b832/ 
  Neha Anand: Neha is a Cognitive Solution Architect. She is experienced in managing delivery lifecycle of Enterprise Cloud and Cognitive Solutions. Implemented and worked on chat-bots using various Cognitive Engines such as Watson, LUIS, LEX, Dialogflow etc. Conversational modelling using Natural Language Processing as well as Machine Learning building on bots and worked in development and integration environment. Neha works on developing avenues to drive end-to-end solution and leverage leavers of Cognitive, AI, ML solutions. She is reachable at NehaAnand0511@gmail.com and https://www.linkedin.com/in/neha-anand-05
  Pallavi Aggarwal: Pallavi is a Solution architect for Automation. She has Worked in development and integration of various automation project using Natural Language Processing and Machine Learning. She is experienced in development of various Cognitive Chatbots. She is reachable at pallaviaggarwal123@gmail.com and www.linkedin.com/in/pallavi-aggarwal-1003

  Inhalt
  Chapter 1. Cognitive Virtual Bot.- Chapter 2: Use Cases for Cognitive Virtual Bots.- Chapter 3: Various cognitive platforms/engines.- Chapter 4: Chat Bot Frameworks.- Chapter 5: Watson Assistant.- Chapter 6: Future of Cognitive Virtual Assistants.