India's Algorithmic Battlespace

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Bol India's Algorithmic Battlespace: Exploration of AI-Powered Defence Future of India by Soham Prakash Baral is a comprehensive analysis of how artificial intelligence is transforming modern warfare and defence strategy in India.As global conflicts evolve toward AI-driven warfare, autonomous systems, cyber operations and intelligence dominance, this book explains how military power is increasingly defined by data, algorithms and decision superiority rather than conventional force alone.The book analyzes India's evolving military landscape, identifies structural and operational gaps, and outlines pathways for building indigenous, AI-enabled defence capabilities. Drawing from real-world operational challenges, ranging from border surveillance to multi-domain warfare. It highlights the need for faster data-driven decision cycles and system-level integration. The work analyses the evolution of warfare from conventional engagements to multi-domain, data-driven conflict environments, highlighting the increasing importance of Intelligence, Surveillance and Reconnaissance (ISR), real-time analytics and machine-led decision systems. It further evaluates India's existing capabilities, identifying structural gaps in data infrastructure, system integration and technological self-reliance. Particular emphasis is placed on the challenges of implementation, including issues of interoperability, latency, data fragmentation and the balance between human oversight and machine autonomy.

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India's Algorithmic Battlespace: Exploration of AI-Powered Defence Future of India by Soham Prakash Baral is a comprehensive analysis of how artificial intelligence is transforming modern warfare and defence strategy in India.As global conflicts evolve toward AI-driven warfare, autonomous systems, cyber operations and intelligence dominance, this book explains how military power is increasingly defined by data, algorithms and decision superiority rather than conventional force alone.The book analyzes India's evolving military landscape, identifies structural and operational gaps, and outlines pathways for building indigenous, AI-enabled defence capabilities. Drawing from real-world operational challenges, ranging from border surveillance to multi-domain warfare. It highlights the need for faster data-driven decision cycles and system-level integration. The work analyses the evolution of warfare from conventional engagements to multi-domain, data-driven conflict environments, highlighting the increasing importance of Intelligence, Surveillance and Reconnaissance (ISR), real-time analytics and machine-led decision systems. It further evaluates India's existing capabilities, identifying structural gaps in data infrastructure, system integration and technological self-reliance. Particular emphasis is placed on the challenges of implementation, including issues of interoperability, latency, data fragmentation and the balance between human oversight and machine autonomy.


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