Addressing the complexity of mainframe transformation
Mainframe environments have often felt different from other platforms, creating unique challenges for innovation and skills retention. Due to their critical role in handling large-scale, mission-critical applications, innovating and transforming mainframe systems can be highly complex. These systems are often deeply integrated into an organization’s infrastructure, making changes risky and demanding. The legacy nature of many mainframe applications further complicates transformation efforts, requiring specialized skills that are becoming increasingly scarce as a significant portion of the mainframe workforce approaches retirement. According to recent statistics and client data, one-third of the mainframe workforce is set to retire in the next five years, creating an urgent need for solutions that address both innovation and skills gaps.
Transforming the mainframe for the next generation
As your organization seeks to modernize its mainframe environment, our goal is to help you preserve your existing investments and institutional knowledge while transforming the mainframe with the power of cloud and AI. This transformation aims to make mainframes as intuitive as possible for the next generation of talent. The “new mainframer” increasingly will work in a more integrated and fluid manner across the enterprise, with mainframe-specific systems programmers, as well as colleagues in other disciplines such as cloud architects, prompt engineers, operations incident managers, and machine learning (ML) operations specialists.
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