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This system helps large companies plan how to move their existing software applications to a cloud computing environment using an automated infrastructure-as-code pipeline. It works by first collecting information about an application's importance and migration difficulty to create an initial score. Companies can then adjust this score based on their specific priorities, and the final customized score helps determine the best time to move each application, specifically placing it into different groups or "waves" for migration.
Why it matters: Filed before the widespread integration of AI into cloud migration planning. The claims describe a system for customized scoring and wave planning, which could now leverage advanced AI/ML to dynamically adjust weights and predict migration complexities, making the prioritization process far more intelligent and adaptive.
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