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  7. Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source Frameworks

Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source Frameworks

(0) Rašyti atsiliepimą
-15% su kodu: ENG15
78,52 €
Įprasta kaina: 92,38 €
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
78,52 €
Įprasta kaina: 92,38 €
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
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Knyga minkštu viršeliu 92,38 €
2025-02-28 92.3800 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 10,00 €

Knygos aprašymas

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. Yoüll 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 For
Data scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.

Informacija

Autorius: Abhishek Singh, Shrey Shivam, Karthik Ramasubramanian,
Leidėjas: Apress
Išleidimo metai: 2019
Knygos puslapių skaičius: 408
ISBN-10: 1484250338
ISBN-13: 9781484250334
Formatas: 235 x 155 x 23 mm. Knyga minkštu viršeliu
Kalba: Anglų

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