Building an enterprise chatbot work with protected enterprise data using open source frameworks
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 i...
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520 | |a 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. Youll 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 section, youll discuss the importance of data transfers using natural language platforms, such as Dialogflow and LUIS, and see why this is a key process for chatbot development. In the final section, youll work with the RASA and Botpress frameworks. By the end of Building an Enterprise Chatbot with Python, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. You will: Identify business processes 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. | ||
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dewey-search | 005.75/8 |
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spelling | Singh, Abhishek 1976- VerfasserIn aut Building an enterprise chatbot work with protected enterprise data using open source frameworks Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam New York Apress [2019] ©2019 1 online resource illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from PDF title page (SpringerLink, viewed September 24, 2019) 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. Youll 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 section, youll discuss the importance of data transfers using natural language platforms, such as Dialogflow and LUIS, and see why this is a key process for chatbot development. In the final section, youll work with the RASA and Botpress frameworks. By the end of Building an Enterprise Chatbot with Python, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. You will: Identify business processes 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. Search engines Programming Intelligent agents (Computer software) Generators (Computer programs) Open source software Moteurs de recherche ; Programmation Agents intelligents (Logiciels) Générateurs (Logiciels) Logiciels libres Search engines ; Programming Ramasubramanian, Karthik VerfasserIn aut Shivam, Shrey VerfasserIn aut 9781484250334 Erscheint auch als Druck-Ausgabe 9781484250334 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781484250341/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
spellingShingle | Singh, Abhishek 1976- Ramasubramanian, Karthik Shivam, Shrey Building an enterprise chatbot work with protected enterprise data using open source frameworks Search engines Programming Intelligent agents (Computer software) Generators (Computer programs) Open source software Moteurs de recherche ; Programmation Agents intelligents (Logiciels) Générateurs (Logiciels) Logiciels libres Search engines ; Programming |
title | Building an enterprise chatbot work with protected enterprise data using open source frameworks |
title_auth | Building an enterprise chatbot work with protected enterprise data using open source frameworks |
title_exact_search | Building an enterprise chatbot work with protected enterprise data using open source frameworks |
title_full | Building an enterprise chatbot work with protected enterprise data using open source frameworks Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam |
title_fullStr | Building an enterprise chatbot work with protected enterprise data using open source frameworks Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam |
title_full_unstemmed | Building an enterprise chatbot work with protected enterprise data using open source frameworks Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam |
title_short | Building an enterprise chatbot |
title_sort | building an enterprise chatbot work with protected enterprise data using open source frameworks |
title_sub | work with protected enterprise data using open source frameworks |
topic | Search engines Programming Intelligent agents (Computer software) Generators (Computer programs) Open source software Moteurs de recherche ; Programmation Agents intelligents (Logiciels) Générateurs (Logiciels) Logiciels libres Search engines ; Programming |
topic_facet | Search engines Programming Intelligent agents (Computer software) Generators (Computer programs) Open source software Moteurs de recherche ; Programmation Agents intelligents (Logiciels) Générateurs (Logiciels) Logiciels libres Search engines ; Programming |
url | https://learning.oreilly.com/library/view/-/9781484250341/?ar |
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