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Shulph Ink

Military Applications of Data Analytics

Military Applications of Data Analytics

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Military organizations around the world are huge producers and consumers of data, but accessible use cases are not always available. This book presents a diverse collection of cases that explore the realm of possibilities in military data analytics, such as maritime situation awareness, electric power and energy applications, environmental data analytics, data analytics and training effectiveness evaluation, harnessing single board computers for military data analytics, analytics for military training in virtual reality environments, and using single board computers in a variety of domains. Data analytics is seen as having a role in military learning, and a chapter describes the ongoing work with the United States Army Research Laboratory to apply data analytics techniques to the design of courses, evaluation of individual and group performances, and the ability to tailor the learning experience to achieve optimal learning outcomes in a minimum amount of time.

Format: Paperback / softback
Length: 218 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd


Military organizations worldwide generate and consume vast amounts of data, making them prime beneficiaries of data analytics. However, leaders in defense organizations often face challenges in accessing readily available use cases for this powerful technology. This book presents a comprehensive collection of cases that delve into the vast realm of possibilities in military data analytics. These use cases cover a wide range of topics, including:

Context for Maritime Situation Awareness: Understanding the maritime environment and enhancing situational awareness through data analytics.

Data Analytics for Electric Power and Energy Applications: Leveraging data analytics to optimize energy consumption, improve efficiency, and enhance security in military operations.

Environmental Data Analytics in Military Operations: Analyzing environmental factors to inform decision-making, optimize resource allocation, and minimize environmental impact.

Data Analytics and Training Effectiveness Evaluation: Assessing the effectiveness of military training programs and identifying areas for improvement using data analytics.

Harnessing Single Board Computers for Military Data Analytics: Utilizing single board computers to process and analyze large amounts of military data in resource-constrained environments.

Analytics for Military Training in Virtual Reality Environments: Using virtual reality technology to enhance training and simulation capabilities, improve decision-making skills, and reduce training costs.

A Chapter on Single Board Computers explores the applications of single board computers in various domains, such as wireless sensor networks, unmanned vehicles, and cluster computing. The investigation into a process for extracting and codifying expert knowledge provides practical insights for soldiers, supporting diagnostics, decision-making, analysis of alternatives, and various analytical processes.

Data analytics is recognized as having a significant role in military learning, and the book highlights ongoing work with the United States Army Research Laboratory to apply data analytics techniques to course design, performance evaluation, and personalized learning experiences. Another chapter discusses how virtual reality and analytics are revolutionizing the training of military personnel. Virtual reality and analytics are also transforming other aspects of military operations, such as logistics, maintenance, and intelligence analysis.

In conclusion, this book offers a valuable resource for military leaders, researchers, and practitioners seeking to leverage data analytics to enhance their operations and achieve strategic advantage. By exploring a diverse range of use cases and innovative approaches, it provides a roadmap for the future of military data analytics and its potential to revolutionize the way militaries operate.

Weight: 400g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032476018

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