Novel methodologies for software maintenance contract management in banking IT services
Posted: Feb 17, 2021
Abstract
The landscape of banking IT services has undergone profound transformation in recent years, with financial institutions increasingly dependent on complex software ecosystems that require sophisticated maintenance strategies. Traditional software maintenance contract management approaches in banking have largely followed predetermined service level agreements (SLAs) that operate on fixed schedules and reactive maintenance protocols. These conventional methods, while providing a basic framework for service delivery, fail to account for the dynamic interdependencies between banking systems, the evolving threat landscape, and the unique operational characteristics of modern financial technology infrastructure. The limitations of current approaches become particularly evident in their inability to adapt to real-time system performance metrics, emerging security vulnerabilities, and changing business requirements. This research addresses these challenges through the development of a quantum-inspired predictive analytics framework that revolutionizes how banking institutions manage software maintenance contracts. Our approach represents a fundamental departure from traditional methodologies by incorporating principles from quantum computing and federated learning to create an adaptive, privacy-preserving contract management system. The framework enables financial institutions to collaboratively optimize maintenance strategies while maintaining strict data confidentiality, addressing a critical need in an industry where competitive advantage and regulatory compliance are paramount concerns.
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