Abstract: Artificial Intelligence (AI) is revolutionizing the landscape of Software Asset Management (SAM) and license compliance, transforming traditional practices with dynamic, predictive, and automated processes. This paper delves into the integration of AI technologies—including machine learning, natural language processing, and robotic process automation—into SAM and license compliance frameworks. By automating asset discovery, optimizing license utilization, and enhancing compliance through predictive analytics and intelligent data processing, AI empowers organizations to navigate the complexities of software licensing with unprecedented efficiency and accuracy. Case studies and analysis reveal that AI-driven SAM solutions not only streamline operations but also provide strategic insights, enabling businesses to achieve a 25% decrease in compliance-related financial risks. Furthermore, organizations leveraging AI in SAM report an average cost savings of 30% in software expenditures by optimizing license allocations and reducing unnecessary purchases [25] [15]. These findings underscore the transformative potential of AI in enhancing SAM practices, establishing it as a strategic enabler in the digital age, vital for aligning software assets with organizational goals while significantly mitigating legal and financial risks.
Keywords: Software Asset management, license compliance, automation, AI
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DOI:
10.17148/IJARCCE.2024.13652
