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Knowledge-Based Project Management with the Help of AI and Cloud Techniques: Systematic Reuse of Experience-based Knowledge about Safety-critical IT Projects Based on Ontologies, Case-based Reasoning and Word2Vec by Stephan Zelewski, Ganen Sethupathy, Jan Peter Schagen ISBN 9783832559021, 3832559027 instant download

  • SKU: EBN-235749542
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Instant download (eBook) Knowledge-Based Project Management with the Help of AI and Cloud Techniques: Systematic Reuse of Experience-based Knowledge about Safety-critical IT Projects Based on Ontologies, Case-based Reasoning and Word2Vec after payment.
Authors:Stephan Zelewski, Ganen Sethupathy, Jan Peter Schagen
Pages:280 pages
Year:2024
Edition:1
Publisher:Logos
Language:english
File Size:7.73 MB
Format:PDF
ISBNS:9783832559021, 3832559027
Categories: Ebooks

Product desciption

Knowledge-Based Project Management with the Help of AI and Cloud Techniques: Systematic Reuse of Experience-based Knowledge about Safety-critical IT Projects Based on Ontologies, Case-based Reasoning and Word2Vec by Stephan Zelewski, Ganen Sethupathy, Jan Peter Schagen ISBN 9783832559021, 3832559027 instant download

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 âeoetraditionalâe 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 âeoemodernâe 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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