How process mining & automation are reshaping defense & industry
The increasing role of AI and process mining in warfare and business
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Artificial intelligence (AI) is at the heart of two major transformations: modern military strategies and business process optimization, according to a new reseearch report.
The report highlights how AI-powered analytics are driving automation, improving decision-making and enhancing security in both fields, fueling rapid investment and innovation.
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AI in military: The future of defense?
AI is changing the way military operations function, from automating routine tasks to strengthening cyber security and optimizing combat strategies. According to the report, the North American AI in military sector is expanding as defense forces adopt cutting-edge AI systems.
The global AI in military market was valued at around US$9.31 billion in 2024 and is expected to grow at a compound annual growth rate (CAGR) of 13.0 percent through 2030, reaching an estimated $21.8 billion, according to Grand View Research. This rapid growth is fueled by increasing defense budgets and the need for smarter, AI-driven capabilities.
One of the most significant advancements is the rise of autonomous warfare systems. AI-powered drones, robotic combat units and automated surveillance tools are reducing human involvement in high-risk combat scenarios. AI-driven drones have already played a crucial role in modern conflicts, such as in Ukraine, where maritime drones successfully countered enemy attacks, according to an article by Reuters.
The push for unmanned systems continues to accelerate, with major investments in AI-powered reconnaissance and defense strategies seen as critical for the future.
AI is also revolutionizing military intelligence by analyzing massive amounts of real-time data, improving threat detection and enhancing decision-making. AI-driven cyber security solutions are playing an equally vital role, protecting sensitive military networks from an increasing number of cyber threats.
As AI becomes embedded in military strategies, defense agencies are increasingly partnering with private companies to drive innovation. Startups like Anduril Industries are attracting significant venture capital to develop autonomous weaponry and AI-driven defense technologies, giving military forces the technological edge they need in modern conflicts, reported the Wall Street Journal.
The collaboration between military organizations and AI firms is setting the stage for a new era of warfare driven by automation and data intelligence.
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Process mining used to enhance the military’s OPEX
While AI is transforming defense, it’s also reshaping how businesses operate. Process mining helps organizations streamline workflows, detect inefficiencies and improve overall performance. Industries like finance, healthcare and manufacturing are increasingly turning to process mining to enhance productivity and regulatory compliance.
Interestingly, AI in military applications and process mining share common ground. Both use AI’s ability to process vast amounts of data and extract valuable insights, whether for military intelligence or corporate optimization. Military forces use AI to analyze battlefield data and predict threats, while businesses apply process mining to refine workflows and eliminate bottlenecks. The ability to use AI-driven analytics for better decision-making is proving valuable in both domains.
Security and compliance are also shared concerns. In defense, AI-driven cyber security solutions protect sensitive information, while in business, process mining tools ensure regulatory adherence. Highly regulated industries like finance and healthcare rely on AI to provide transparency, governance and risk management, reducing the likelihood of compliance violations.
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Challenges in adoption
Despite the promise of AI-driven advancements, there are significant challenges to overcome. One major issue is data sensitivity, as both military and corporate AI systems handle vast amounts of confidential information, the report highlights. Strong security measures are required to prevent breaches and unauthorized access. Also, implementing AI-based solutions requires major investments in infrastructure and skilled personnel, which can be a barrier for organizations with limited resources.
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