From legacy to leading edge: Revolutionizing mainframe modernization
Navigating the complexities of AI-driven mainframe modernization strategies in a digital age
Mainframes have long underpinned numerous enterprises, driving critical operations across industries such as banking, insurance, healthcare, and government. With the rise of AI and modern digital platforms, coupled with evolving consumer expectations, the urgency for modernization has intensified. Our latest thought leadership offers strategic guidance on leveraging Generative AI to effectively navigate this complex transformation.
Our analysis reveals that AI-fueled modernization can significantly enhance and accelerate mainframe transformation efforts. Generative AI solutions are crucial for efficiently updating legacy systems, offering capabilities such as mainframe code discovery, refactoring legacy code, and mapping dependencies.
Companies are actively seeking AI use cases, and mainframe migration presents a robust opportunity for leveraging AI to drive transformation and modernization.
Key recommendations for successful mainframe modernization include:
- Adopting an iterative, agile approach characterized by careful planning and strategic foresight
- Leveraging AI-fueled modernization to enhance and accelerate the modernization process
- Ensuring a well-curated strategy that includes a human in the loop to minimize risks associated with AI models
Dive into our thinking:
Unlocking the Potential of Mainframe Modernization
Download the whitepaper to explore the future of mainframe modernization
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