AIML & Big Data in Defence/ Kate Banville

By:

BANVILLE Kate [Author]

Material type: Text

TextPublication details: 2024Subject(s):

In: Australian Defence Magazine, Volume 32, Number 8, November 2024, Page 60-63Summary: In the rapidly evolving landscape of modern warfare, the integration of Artificial Intelligence and Machine Learning (AIML) with Big Data has emerged as a transformative force in defense strategies. This paper by Kate Banville explores the multifaceted applications of AIML and Big Data within military operations, highlighting their potential to enhance decision-making, improve operational efficiency, and bolster national security. By analyzing case studies and current implementations, the research underscores how data-driven insights can predict threats, optimize resource allocation, and facilitate real-time situational awareness. Furthermore, the paper addresses the ethical implications and challenges associated with the deployment of these technologies in defense, advocating for a balanced approach that prioritizes both innovation and accountability. Ultimately, this work aims to provide a comprehensive understanding of how AIML and Big Data are reshaping the future of defense, offering strategic recommendations for military leaders and policymakers.

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Item type	Current library	Call number	Status	Date due	Barcode
Journal Article	Mindef Library & Info Centre Journals	BIG DATA IN DEFENCE (Browse shelf(Opens below))	Not for loan

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In the rapidly evolving landscape of modern warfare, the integration of Artificial Intelligence and Machine Learning (AIML) with Big Data has emerged as a transformative force in defense strategies. This paper by Kate Banville explores the multifaceted applications of AIML and Big Data within military operations, highlighting their potential to enhance decision-making, improve operational efficiency, and bolster national security. By analyzing case studies and current implementations, the research underscores how data-driven insights can predict threats, optimize resource allocation, and facilitate real-time situational awareness. Furthermore, the paper addresses the ethical implications and challenges associated with the deployment of these technologies in defense, advocating for a balanced approach that prioritizes both innovation and accountability. Ultimately, this work aims to provide a comprehensive understanding of how AIML and Big Data are reshaping the future of defense, offering strategic recommendations for military leaders and policymakers.

BIG DATA, DEFENCE, ARTIFICIAL INTELLIGENCE

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