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Building an Enterprise Chatbot - Work with Protected Enterprise Data Using Open Source Frameworks (Paperback, 1st ed.)
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Building an Enterprise Chatbot - Work with Protected Enterprise Data Using Open Source Frameworks (Paperback, 1st ed.)
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Explore the adoption of chatbots in business by focusing on the
design, deployment, and continuous improvement of chatbots in a
business, with a single use-case from the banking and insurance
sector. This book starts by identifying the business processes in
the banking and insurance industry. This involves data collection
from sources such as conversations from customer service centers,
online chats, emails, and other NLP sources. You'll then design the
solution architecture of the chatbot. Once the architecture is
framed, the author goes on to explain natural language
understanding (NLU), natural language processing (NLP), and natural
language generation (NLG) with examples. In the next sections,
you'll design and implement the backend framework of a typical
chatbot from scratch. You will also explore some popular
open-source chatbot frameworks such as Dialogflow and LUIS. The
authors then explain how you can integrate various third-party
services and enterprise databases with the custom chatbot
framework. In the final section, you'll discuss how to deploy the
custom chatbot framework on the AWS cloud. By the end of Building
an Enterprise Chatbot, you will be able to design and develop an
enterprise-ready conversational chatbot using an open source
development platform to serve the end user. What You Will Learn
Identify business processes where chatbots could be used Focus on
building a chatbot for one industry and one use-case rather than
building a ubiquitous and generic chatbot Design the solution
architecture for a chatbot Integrate chatbots with internal data
sources using APIs Discover the differences between natural
language understanding (NLU), natural language processing (NLP),
and natural language generation (NLG) Work with deployment and
continuous improvement through representational learning Who This
Book Is ForData scientists and enterprise architects who are
currently looking to deploy chatbot solutions to their business.
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