The Role of KM in Enhancing AI Algorithms and Systems

Knowledge Management processes present a vital role in improving AI systems and algorithms. Many studies and reviews were carried out to examine the relationship between KM processes and AI systems. However, studies were focusing on specific methods and the impact on some AI algorithms, neglecting t...

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Main Author: AlGhanem, Hani (author)
Other Authors: Shanaa, Mohammad (author), Salloum, Said (author), Shaalan, Khaled (author)
Published: 2020
Subjects:
Online Access:https://bspace.buid.ac.ae/handle/1234/2999
https://doi.org/10.25046/aj050445.
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author AlGhanem, Hani
author2 Shanaa, Mohammad
Salloum, Said
Shaalan, Khaled
author2_role author
author
author
author_facet AlGhanem, Hani
Shanaa, Mohammad
Salloum, Said
Shaalan, Khaled
author_role author
dc.creator.none.fl_str_mv AlGhanem, Hani
Shanaa, Mohammad
Salloum, Said
Shaalan, Khaled
dc.date.none.fl_str_mv 2020
2025-05-13T14:32:51Z
2025-05-13T14:32:51Z
dc.identifier.none.fl_str_mv AlGhanem H. et al. (2020) “The role of KM in enhancing AI algorithms and systems,” Advances in Science, Technology and Engineering Systems, 5(4), pp. 388–396.
2415-6698
https://bspace.buid.ac.ae/handle/1234/2999
https://doi.org/10.25046/aj050445.
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Elsevier
dc.relation.none.fl_str_mv Advances in Science, Technology and Engineering Systemsv5 n4 (2020 07 01): 388-396
dc.subject.none.fl_str_mv Knowledge management Artificial intelligence AI algorithms
dc.title.none.fl_str_mv The Role of KM in Enhancing AI Algorithms and Systems
dc.type.none.fl_str_mv Article
description Knowledge Management processes present a vital role in improving AI systems and algorithms. Many studies and reviews were carried out to examine the relationship between KM processes and AI systems. However, studies were focusing on specific methods and the impact on some AI algorithms, neglecting the role of other KM processes and how it may affect the AI system to achieve the objective, which reduces the adoption in some organizations. The current study shows the relation between KM processes and AI systems from a higher perspective, giving different options to apply other KM processes for the same AI algorithm to reduce any implementation challenges and enhance the adoption level. The review looks into 16 studies collected from a different database from 2014 to 2019. The main finding of the research was the massive impact of some KM processes like knowledge acquisition and knowledge creation on the different types of AI systems and algorithms to give an additional option for organizations during the implementation. Additionally, the research finds that most of the studies agree on the positive relationship between knowledge management processes and the role-plays to enhance AI systems and algorithms. Finally, the study shows a decrease in the number of researches done for this topic in the selected databases, which can be enhanced by other researchers by examining other databases to increase results accuracy.
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identifier_str_mv AlGhanem H. et al. (2020) “The role of KM in enhancing AI algorithms and systems,” Advances in Science, Technology and Engineering Systems, 5(4), pp. 388–396.
2415-6698
language_invalid_str_mv en
network_acronym_str budr
network_name_str The British University in Dubai repository
oai_identifier_str oai:bspace.buid.ac.ae:1234/2999
publishDate 2020
publisher.none.fl_str_mv Elsevier
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spelling The Role of KM in Enhancing AI Algorithms and SystemsAlGhanem, HaniShanaa, MohammadSalloum, SaidShaalan, KhaledKnowledge management Artificial intelligence AI algorithmsKnowledge Management processes present a vital role in improving AI systems and algorithms. Many studies and reviews were carried out to examine the relationship between KM processes and AI systems. However, studies were focusing on specific methods and the impact on some AI algorithms, neglecting the role of other KM processes and how it may affect the AI system to achieve the objective, which reduces the adoption in some organizations. The current study shows the relation between KM processes and AI systems from a higher perspective, giving different options to apply other KM processes for the same AI algorithm to reduce any implementation challenges and enhance the adoption level. The review looks into 16 studies collected from a different database from 2014 to 2019. The main finding of the research was the massive impact of some KM processes like knowledge acquisition and knowledge creation on the different types of AI systems and algorithms to give an additional option for organizations during the implementation. Additionally, the research finds that most of the studies agree on the positive relationship between knowledge management processes and the role-plays to enhance AI systems and algorithms. Finally, the study shows a decrease in the number of researches done for this topic in the selected databases, which can be enhanced by other researchers by examining other databases to increase results accuracy.Elsevier2025-05-13T14:32:51Z2025-05-13T14:32:51Z2020ArticleAlGhanem H. et al. (2020) “The role of KM in enhancing AI algorithms and systems,” Advances in Science, Technology and Engineering Systems, 5(4), pp. 388–396.2415-6698https://bspace.buid.ac.ae/handle/1234/2999https://doi.org/10.25046/aj050445.enAdvances in Science, Technology and Engineering Systemsv5 n4 (2020 07 01): 388-396oai:bspace.buid.ac.ae:1234/29992025-05-13T14:34:43Z
spellingShingle The Role of KM in Enhancing AI Algorithms and Systems
AlGhanem, Hani
Knowledge management Artificial intelligence AI algorithms
title The Role of KM in Enhancing AI Algorithms and Systems
title_full The Role of KM in Enhancing AI Algorithms and Systems
title_fullStr The Role of KM in Enhancing AI Algorithms and Systems
title_full_unstemmed The Role of KM in Enhancing AI Algorithms and Systems
title_short The Role of KM in Enhancing AI Algorithms and Systems
title_sort The Role of KM in Enhancing AI Algorithms and Systems
topic Knowledge management Artificial intelligence AI algorithms
url https://bspace.buid.ac.ae/handle/1234/2999
https://doi.org/10.25046/aj050445.