Developing Enterprise Chatbots
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Developing Enterprise Chatbots
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Author : Boris Galitsky
language : en
Publisher:
Release Date : 2019
Developing Enterprise Chatbots written by Boris Galitsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Generators (Computer programs) categories.
A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn "how to chat". Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees.
Developing Enterprise Chatbots
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Author : Boris Galitsky
language : en
Publisher: Springer
Release Date : 2019-04-04
Developing Enterprise Chatbots written by Boris Galitsky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-04 with Computers categories.
A chatbot is expected to be capable of supporting a cohesive and coherent conversation and be knowledgeable, which makes it one of the most complex intelligent systems being designed nowadays. Designers have to learn to combine intuitive, explainable language understanding and reasoning approaches with high-performance statistical and deep learning technologies. Today, there are two popular paradigms for chatbot construction: 1. Build a bot platform with universal NLP and ML capabilities so that a bot developer for a particular enterprise, not being an expert, can populate it with training data; 2. Accumulate a huge set of training dialogue data, feed it to a deep learning network and expect the trained chatbot to automatically learn “how to chat”. Although these two approaches are reported to imitate some intelligent dialogues, both of them are unsuitable for enterprise chatbots, being unreliable and too brittle. The latter approach is based on a belief that some learning miracle will happen and a chatbot will start functioning without a thorough feature and domain engineering by an expert and interpretable dialogue management algorithms. Enterprise high-performance chatbots with extensive domain knowledge require a mix of statistical, inductive, deep machine learning and learning from the web, syntactic, semantic and discourse NLP, ontology-based reasoning and a state machine to control a dialogue. This book will provide a comprehensive source of algorithms and architectures for building chatbots for various domains based on the recent trends in computational linguistics and machine learning. The foci of this book are applications of discourse analysis in text relevant assessment, dialogue management and content generation, which help to overcome the limitations of platform-based and data driven-based approaches. Supplementary material and code is available at https://github.com/bgalitsky/relevance-based-on-parse-trees
Building An Enterprise Chatbot
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Author : Abhishek Singh
language : en
Publisher: Apress
Release Date : 2019-09-13
Building An Enterprise Chatbot written by Abhishek Singh and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-13 with Computers categories.
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.
Design And Development Of Emerging Chatbot Technology
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-04-09
Design And Development Of Emerging Chatbot Technology written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-09 with Computers categories.
In the field of information retrieval, the challenge lies in the speed and accuracy with which users can access relevant data. With the increasing complexity of digital interactions, the need for a solution that transcends traditional methods becomes evident. Human involvement and manual investigation are not only time-consuming but also prone to errors, hindering the seamless exchange of information in various sectors. Design and Development of Emerging Chatbot Technology emerges as a comprehensive solution to the predicament posed by traditional information retrieval methods. Focusing on the transformative power of chatbots, it delves into the intricacies of their operation, applications, and development. Designed for academic scholars across diverse disciplines, the book serves as a beacon for those seeking a deeper understanding of chatbots and their potential to revolutionize information retrieval in customer service, education, healthcare, e-commerce, and more.
Transforming The Digitally Sustainable Enterprise
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Author : Daniel Beverungen
language : en
Publisher: Springer Nature
Release Date : 2025-03-21
Transforming The Digitally Sustainable Enterprise written by Daniel Beverungen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Computers categories.
This book is the third volume of proceedings from the 18th International Conference on Wirtschaftsinformatik held in Paderborn, Germany, in 2023. In the context of the global trend toward digitalization, it presents the results of innovative, high-quality research in the field of information systems and digital transformation. The book covers a broad range of topics, including digital innovation, business analytics, artificial intelligence, and IT strategy, each of which has and will continue to have significant impacts on companies, individuals and societies alike.
Artificial Intelligence For Customer Relationship Management
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Author : Boris Galitsky
language : en
Publisher: Springer Nature
Release Date : 2020-12-07
Artificial Intelligence For Customer Relationship Management written by Boris Galitsky and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-07 with Computers categories.
This research monograph brings AI to the field of Customer Relationship Management (CRM) to make a customer experience with a product or service smart and enjoyable. AI is here to help customers to get a refund for a canceled flight, unfreeze a banking account or get a health test result. Today, CRM has evolved from storing and analyzing customers’ data to predicting and understanding their behavior by putting a CRM system in a customers’ shoes. Hence advanced reasoning with learning from small data, about customers’ attitudes, introspection, reading between the lines of customer communication and explainability need to come into play. Artificial Intelligence for Customer Relationship Management leverages a number of Natural Language Processing (NLP), Machine Learning (ML), simulation and reasoning techniques to enable CRM with intelligence. An effective and robust CRM needs to be able to chat with customers, providing desired information, completing their transactions and resolving their problems. It introduces a systematic means of ascertaining a customers’ frame of mind, their intents and attitudes to determine when to provide a thorough answer, a recommendation, an explanation, a proper argument, timely advice and promotion or compensation. The author employs a spectrum of ML methods, from deterministic to statistical to deep, to predict customer behavior and anticipate possible complaints, assuring customer retention efficiently. Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals.
Artificial Intelligence For Healthcare Applications And Management
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Author : Boris Galitsky
language : en
Publisher: Academic Press
Release Date : 2022-01-13
Artificial Intelligence For Healthcare Applications And Management written by Boris Galitsky and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-13 with Computers categories.
Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients. - Presents an in-depth exploration of how AI algorithms embedded in scheduling, prediction, automated support, personalization, and diagnostics can improve the efficiency of patient treatment - Investigates explainable AI, including explainable decision support and machine learning, from limited data to back-up clinical decisions, and data analysis - Offers hands-on skills to computer science and medical informatics students to aid them in designing intelligent systems for healthcare - Informs a broad, multidisciplinary audience about a multitude of applications of machine learning and linguistics across various healthcare fields - Introduces medical discourse analysis for a high-level representation of health texts
Designing For Digital Transformation Co Creating Services With Citizens And Industry
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Author : Sara Hofmann
language : en
Publisher: Springer Nature
Release Date : 2020-12-01
Designing For Digital Transformation Co Creating Services With Citizens And Industry written by Sara Hofmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-01 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2020, held in Kristiansand, Norway, in December 2020. The 28 revised full research papers included in the volume together with 7 research-in-progress papers and 9 prototype papers, were carefully reviewed and selected from 93 submissions. They are organized in the following topical sections: digital public services; data science; design principles; methodology; platforms and networks; and service science. Due to the Corona pandemic this event was held virtually.
Handbook Of Research On Natural Language Processing And Smart Service Systems
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Author : Pazos-Rangel, Rodolfo Abraham
language : en
Publisher: IGI Global
Release Date : 2020-10-02
Handbook Of Research On Natural Language Processing And Smart Service Systems written by Pazos-Rangel, Rodolfo Abraham and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-02 with Computers categories.
Natural language processing (NLP) is a branch of artificial intelligence that has emerged as a prevalent method of practice for a sizeable amount of companies. NLP enables software to understand human language and process complex data that is generated within businesses. In a competitive market, leading organizations are showing an increased interest in implementing this technology to improve user experience and establish smarter decision-making methods. Research on the application of intelligent analytics is crucial for professionals and companies who wish to gain an edge on the opposition. The Handbook of Research on Natural Language Processing and Smart Service Systems is a collection of innovative research on the integration and development of intelligent software tools and their various applications within professional environments. While highlighting topics including discourse analysis, information retrieval, and advanced dialog systems, this book is ideally designed for developers, practitioners, researchers, managers, engineers, academicians, business professionals, scholars, policymakers, and students seeking current research on the improvement of competitive practices through the use of NLP and smart service systems.
Proceedings Of International Conference On Emerging Technologies And Intelligent Systems
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Author : Mostafa Al-Emran
language : en
Publisher: Springer Nature
Release Date : 2021-12-02
Proceedings Of International Conference On Emerging Technologies And Intelligent Systems written by Mostafa Al-Emran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Technology & Engineering categories.
This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on four different themes, including Artificial Intelligence and Soft Computing, Information Security and Networking, Medical Informatics, and Advances in Information Systems. Each chapter contributes to the aforementioned themes by discussing the recent design, developments, and modifications of intelligent systems and their applications.