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|a Sabharwal, Navin.
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|a Developing cognitive bots using the IBM Watson engine :
|b practical, hands-on guide to developing complex cognitive bots using the IBM Watson Platform /
|c Navin Sabharwal, Sudipta Barua, Neha Anand, Pallavi Aggarwal.
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| 260 |
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|a Berkeley, CA :
|b Apress L.P.,
|c ©2020.
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|a 1 online resource (xvi, 255 pages)
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|a Intro -- Table of Contents -- About the Authors -- About the Technical Reviewer -- Acknowledgments -- Chapter 1: Introduction to Cognitive Virtual Bots -- Privacy Concerns with Cognitive Virtual Assistants -- Developer Platforms for CVAs -- Bots vs. Cognitive Virtual Assistants -- Impact on the Enterprises and Ecosystem -- Use Cases for Cognitive Virtual Assistants -- Self Service/Helpdesk for IT Services -- Triage -- Lead Generation -- Ecommerce -- Integration with Enterprise Applications -- Task Tracking and Project Management -- Human Resources -- Conclusion
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|a Chapter 2: Various Cognitive Platforms/Engines -- Watson -- Products and Services -- AI Assistant -- Watson Assistant -- Data -- Watson Studio -- Watson Machine Learning -- Watson Knowledge Catalog -- Watson OpenScale -- Knowledge -- Watson Discovery -- Watson Discovery News -- Watson Natural Language Understanding (NLU) -- Watson Knowledge Studio -- Vision -- Speech -- LUIS -- Azure Products and Services -- Language -- Text Analytics -- QnA Maker -- Translator Text -- Speech Service -- Search -- Bing Spell Check -- Bing Web Search -- Bing Entity Search -- Decision -- Vision -- Amazon AI Services
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| 505 |
8 |
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|a Products and Services -- Amazon Lex -- Amazon Polly -- Amazon Rekognition -- Amazon Translate -- Amazon Transcribe -- Dialogflow -- Google Products and Services -- Speech-to-Text -- Text-to-Speech -- Language Translation -- Natural Language -- Conclusion -- Chapter 3: Bot Frameworks -- Microsoft Bot Framework -- Microsoft Bot Framework Features -- Microsoft Bot Connector -- BOT SDK -- Botpress -- Lucy Bot -- Conclusion -- Chapter 4: Building Your First Bot Using Watson Assistant -- Creation of an IBM Cloud Account -- Creating the Watson Assistant Service -- Creating a Skill for the Use Cases
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|a Defining the Intents for the Set of Variations -- Dialog Configuration -- Integrating with the Built-in Bot Framework Assistant -- Your First Bot -- Dialog and Conditions -- Dialog Node -- Single Node -- Multiple Nodes -- Node with Child Nodes -- Scenario 1: Node with Child Nodes -- Scenario 2: Node to Node on the Same Level -- Conclusion -- Chapter 5: Advanced Concepts of Watson Agent -- Contextual Entities -- Context Variables -- Slots -- Multiple Responses (Multiple Conditioned Responses) -- Digression -- Disambiguation -- Handling Multiple Intents -- Showcasing Solutions in Various Formats
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|a Text -- HTML -- Options -- Conclusion -- Chapter 6: Use Cases for Cognitive Virtual Bots -- Domain-Specific Use Cases for BFSI -- Introduction to IBM Cloud Functions -- Domain-Specific Use Cases for the Stock Market -- Open Source Stock API -- Connect Watson with the Stock Market API via Cloud Functions -- Calling Cloud Function in Watson -- Defining Components -- Calling the API -- Integrating with the Weather API -- Open Source Weather API -- Connecting Watson Assistant with the Weather API via Cloud Functions -- Calling Cloud Functions in Watson -- Calling the API -- Conclusion
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| 500 |
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|a Chapter 7: Integrating with Advance Services
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| 504 |
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|a Includes index.
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| 520 |
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|a 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 with a glimpse of what to expect in the future for Cognitive Virtual Assistants. You will: 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.
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|a Intelligent agents (Computer software)
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| 650 |
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|a Intelligent agents (Computer software)
|2 fast
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| 700 |
1 |
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|a Barua, Sudipta.
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| 700 |
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|a Anand, Neha.
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| 700 |
1 |
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|a Aggarwal, Pallavi.
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| 758 |
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|i has work:
|a Developing cognitive bots using the IBM Watson engine (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGJTYCw6g4cRmfBBGqMfmd
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Sabharwal, Navin.
|t Developing Cognitive Bots Using the IBM Watson Engine : Practical, Hands-On Guide to Developing Complex Cognitive Bots Using the IBM Watson Platform.
|d Berkeley, CA : Apress L.P., ©2019
|z 9781484255544
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| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-1-4842-5555-1
|y Click for online access
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| 903 |
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|a SPRING-COMPUTING2020
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| 994 |
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|b HCD
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