Knowledge-based Project Management with the Help of AI and Cloud Techniques

In safety-critical IT projects, the success of which is crucial to public safety, the failure of an IT system can have far-reaching consequences. In practice, however, the reuse of valuable experience-based knowledge, which is often available in natural language and on different IT systems or in phy...

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Autor principal: Zelewski, Stephan
Formato: Online
Lenguaje:inglés
Publicado: Logos Verlag Berlin 2025
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Acceso en línea:https://library.oapen.org/handle/20.500.12657/101867
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author Zelewski, Stephan
author_browse Zelewski, Stephan
author_facet Zelewski, Stephan
author_sort Zelewski, Stephan
collection Directory of Open Access Books
description In safety-critical IT projects, the success of which is crucial to public safety, the failure of an IT system can have far-reaching consequences. In practice, however, the reuse of valuable experience-based knowledge, which is often available in natural language and on different IT systems or in physical documents, poses a considerable challenge. If this experience-based knowledge is not taken into account, the consequences can be serious and lead to high additional costs and considerable project delays. One possible approach to solving these problems lies at the interface of business administration, business informatics and computer science. This approach combines the previously separate disciplines of project management, knowledge management and artificial intelligence (AI). It shows how proven “traditional” AI techniques, especially ontologies and case-based reasoning, can be used effectively in safety-critical IT projects. By combining ontology-supported case-based reasoning with artificial neural networks for the “modern” Word2Vec technique, a cloud-based software is designed that can be used to significantly improve the reuse of experience-based knowledge in safety-critical IT projects.The article presented here shows how the combination of traditional and modern AI techniques can provide a key to the systematic reuse of mission-critical experience-based knowledge in IT projects.
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spelling doab-20.500.12854ir-1595272025-07-29T15:42:21Z Knowledge-based Project Management with the Help of AI and Cloud Techniques Zelewski, Stephan Business & Economics Computers Computer Science bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management bic Book Industry Communication::U Computing & information technology::UY Computer science In safety-critical IT projects, the success of which is crucial to public safety, the failure of an IT system can have far-reaching consequences. In practice, however, the reuse of valuable experience-based knowledge, which is often available in natural language and on different IT systems or in physical documents, poses a considerable challenge. If this experience-based knowledge is not taken into account, the consequences can be serious and lead to high additional costs and considerable project delays. One possible approach to solving these problems lies at the interface of business administration, business informatics and computer science. This approach combines the previously separate disciplines of project management, knowledge management and artificial intelligence (AI). It shows how proven “traditional” AI techniques, especially ontologies and case-based reasoning, can be used effectively in safety-critical IT projects. By combining ontology-supported case-based reasoning with artificial neural networks for the “modern” Word2Vec technique, a cloud-based software is designed that can be used to significantly improve the reuse of experience-based knowledge in safety-critical IT projects.The article presented here shows how the combination of traditional and modern AI techniques can provide a key to the systematic reuse of mission-critical experience-based knowledge in IT projects. 2025-05-16T05:58:14Z 2025-05-16T05:58:14Z 2025-05-16T02:30:44Z 2024 book https://library.oapen.org/handle/20.500.12657/101867 https://directory.doabooks.org/handle/20.500.12854/159527 eng open access image/jpeg image/jpeg n/a n/a https://library.oapen.org/bitstream/20.500.12657/101867/1/external_content.pdf https://library.oapen.org/bitstream/20.500.12657/101867/1/external_content.pdf Logos Verlag Berlin Logos Verlag Berlin 04b263a1-7fba-4491-9eae-1c394ac42fc3 Knowledge Unlatched Knowledge Unlatched (KU) KU Open Services Logos Verlag Berlin open access
spellingShingle Business & Economics
Computers
Computer Science
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management
bic Book Industry Communication::U Computing & information technology::UY Computer science
Zelewski, Stephan
Knowledge-based Project Management with the Help of AI and Cloud Techniques
title Knowledge-based Project Management with the Help of AI and Cloud Techniques
title_full Knowledge-based Project Management with the Help of AI and Cloud Techniques
title_fullStr Knowledge-based Project Management with the Help of AI and Cloud Techniques
title_full_unstemmed Knowledge-based Project Management with the Help of AI and Cloud Techniques
title_short Knowledge-based Project Management with the Help of AI and Cloud Techniques
title_sort knowledge based project management with the help of ai and cloud techniques
topic Business & Economics
Computers
Computer Science
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management
bic Book Industry Communication::U Computing & information technology::UY Computer science
topic_facet Business & Economics
Computers
Computer Science
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management
bic Book Industry Communication::U Computing & information technology::UY Computer science
url https://library.oapen.org/handle/20.500.12657/101867
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