A survey of data-centric technologies supporting decision-making before deploying military assets

In a time characterized by the availability of vast amounts of data, the effective utilization of information is critical for timely decision-making in military operations. However, processing large amounts of data requires computational resources and time. Therefore, decision makers have used data-...

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Main Authors: Alexandra Zabala-López, Mario Linares-Vásquez, Sonia Haiduc, Yezid Donoso
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-12-01
Series:Defence Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S221491472400182X
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author Alexandra Zabala-López
Mario Linares-Vásquez
Sonia Haiduc
Yezid Donoso
author_facet Alexandra Zabala-López
Mario Linares-Vásquez
Sonia Haiduc
Yezid Donoso
author_sort Alexandra Zabala-López
collection DOAJ
description In a time characterized by the availability of vast amounts of data, the effective utilization of information is critical for timely decision-making in military operations. However, processing large amounts of data requires computational resources and time. Therefore, decision makers have used data-centric technologies to take advantage of public and private data sources to support military operations. This survey explores the integration and application of data-centric technologies, such as data analytics, data science, and machine learning, to optimize decision-making workflows within military contexts supporting the deployment of military assets and resources. To address the information gap, this article presents a literature review, specifically a survey. Our survey examines the use of the mentioned technologies to process and analyze information that contributes to the phases of situational awareness, and planning in military environments. We then introduce a taxonomy of the approaches associated with implementing these technologies in military scenarios. Furthermore, we discuss relevant factors for the seamless integration of data-centric technologies into military decision-making processes, and reveal the importance of specialized personnel, architectures, and cybersecurity issues in the task of developing prototypes and models. The findings of this paper aim to provide valuable insights for military institutions, offering a deeper understanding of the use of data-centric technologies as innovative practices to enhance the effectiveness of military decision-making.
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publishDate 2024-12-01
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spelling doaj-art-757acff3dd1c49f08df4f3e7a01f6ccc2024-12-11T05:56:42ZengKeAi Communications Co., Ltd.Defence Technology2214-91472024-12-0142226246A survey of data-centric technologies supporting decision-making before deploying military assetsAlexandra Zabala-López0Mario Linares-Vásquez1Sonia Haiduc2Yezid Donoso3Colombian Air Force - Air and Space Operations Command - Aerospace Technology Development Centre for the Defense - CETAD, Avenida El Dorado Cra. 54 No 26 -25 CAN, Bogotá, Colombia; Universidad de los Andes, Edificio Mario Laserna Cra 1 Este No 19A -40, Bogotá, Colombia; Corresponding author.Universidad de los Andes, Edificio Mario Laserna Cra 1 Este No 19A -40, Bogotá, ColombiaFlorida State University, James Jay Love Building, 253, 1017 Academic Way, Tallahassee 32304, FL, United StatesUniversidad de los Andes, Edificio Mario Laserna Cra 1 Este No 19A -40, Bogotá, ColombiaIn a time characterized by the availability of vast amounts of data, the effective utilization of information is critical for timely decision-making in military operations. However, processing large amounts of data requires computational resources and time. Therefore, decision makers have used data-centric technologies to take advantage of public and private data sources to support military operations. This survey explores the integration and application of data-centric technologies, such as data analytics, data science, and machine learning, to optimize decision-making workflows within military contexts supporting the deployment of military assets and resources. To address the information gap, this article presents a literature review, specifically a survey. Our survey examines the use of the mentioned technologies to process and analyze information that contributes to the phases of situational awareness, and planning in military environments. We then introduce a taxonomy of the approaches associated with implementing these technologies in military scenarios. Furthermore, we discuss relevant factors for the seamless integration of data-centric technologies into military decision-making processes, and reveal the importance of specialized personnel, architectures, and cybersecurity issues in the task of developing prototypes and models. The findings of this paper aim to provide valuable insights for military institutions, offering a deeper understanding of the use of data-centric technologies as innovative practices to enhance the effectiveness of military decision-making.http://www.sciencedirect.com/science/article/pii/S221491472400182XData-centric technologiesMilitaryAnalyticsMachine learningData scienceArtificial intelligence
spellingShingle Alexandra Zabala-López
Mario Linares-Vásquez
Sonia Haiduc
Yezid Donoso
A survey of data-centric technologies supporting decision-making before deploying military assets
Defence Technology
Data-centric technologies
Military
Analytics
Machine learning
Data science
Artificial intelligence
title A survey of data-centric technologies supporting decision-making before deploying military assets
title_full A survey of data-centric technologies supporting decision-making before deploying military assets
title_fullStr A survey of data-centric technologies supporting decision-making before deploying military assets
title_full_unstemmed A survey of data-centric technologies supporting decision-making before deploying military assets
title_short A survey of data-centric technologies supporting decision-making before deploying military assets
title_sort survey of data centric technologies supporting decision making before deploying military assets
topic Data-centric technologies
Military
Analytics
Machine learning
Data science
Artificial intelligence
url http://www.sciencedirect.com/science/article/pii/S221491472400182X
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