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Effective software asset management today requires a dynamic, adaptive approach. In an agile environment, where software is rapidly developed, deployed, and iterated, traditional static asset tracking no longer suffices. Organizations must implement real-time monitoring tools and automated discovery to maintain visibility across constantly evolving assets. Additionally, AI-driven analytics can enhance decision-making by identifying usage patterns, optimizing license allocation, and predicting future needs. By integrating asset management into agile workflows and leveraging AI, companies can ensure compliance, reduce costs, and maximize the value of their software investments.
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