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A Virtual Chatbot for ITSM Application

TLDR
In this paper, a chatbot can process input using Natural Language Processing and generate a relevant response which will help the end user to solve his query, the chatbot makes decisions itself to answer user's query with the help of the neural network.
Abstract
In the current scenario, the end user of Information Technology Service Management application in software companies has to keep on searching the solution for problems he is facing or else finally create a ticket since he cannot collaborate with the system by asking questions and getting relevant answers. As a solution to this, we aim to design a chatbot that will be specifically tailored for software firm employees. The chatbot can process input using Natural Language Processing and can generate a relevant response which will help the end user to solve his query. The chatbot makes decisions itself to answer user's query with the help of the neural network. It will also remember the context of the conversation and perform tasks such as creation of ticket on behalf of the user.

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Journal ArticleDOI

Value propositions of chatbots to support innovation management processes

TL;DR: This study identifies value propositions of chatbots to support a company’s innovation management process and links the value propositions to particular process steps and success dimensions to contribute to a better understanding of the benefits of chatbot usage for the innovation managementprocess.
Book ChapterDOI

KlimaKarl - A Chatbot to Promote Employees' Climate-Friendly Behavior in an Office Setting.

TL;DR: In this paper, a chatbot prototype called KlimaKarl was developed to sensitize the workforce to behave in a more climate-conscious way in the everyday office life, and they showed that chatbots may be a suitable instrument to promote employees' climate-friendly behavior.
Journal ArticleDOI

Управление инцидентами в itsm с использованием искусственного интеллекта

TL;DR: In this paper, the authors proposed an approach to optimize the incident management structure based on artificial intelligence tools, including machine learning, to achieve the required level of quality of information technology services provided.
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