<ul data-eligibleForWebStory="true"><li>Legacy IT systems in financial services and critical infrastructure sectors pose challenges for cloud migration due to complex architectures, regulations, and risks.</li><li>An AI-driven framework is introduced to automate and optimize cloud migration in mission-critical environments.</li><li>The framework utilizes transformer-based code analysis, graph neural network dependency mapping, and NLP for compliance simulation.</li><li>It reduces migration time, downtime, and compliance violations, improving operational resilience and modernization.</li><li>Evaluations with JPMorgan Chase, Bank of America, Capital One, and Citi show positive results in legacy modernization.</li><li>AI-assisted migration enables secure, compliant, and efficient modernization aligned with business demands.</li><li>Financial institutions and critical infrastructure are undergoing digital transformation using cloud computing for scalability and cost efficiency.</li><li>Legacy IT systems consist of millions of lines of COBOL, PL/SQL, or proprietary code, making migration challenging.</li></ul>

An AI-Powered Framework for Scalable Cloud Migration in Financial Services and Critical…

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