Unleashing the Power of Mainframe Modernization with AI

Mainframe systems remain critical to global industries, powering core operations. However, with evolving business needs, organizations must modernize these legacy systems to benefit from tools like cloud and AI, enhancing scalability, agility, and innovation. Modernization approaches include reengineering, refactoring, rehosting, and replacing systems, with each method tailored to balance risk, cost, and business objectives.

Despite its benefits, modernizing mainframes is complex and poses challenges such as outdated technologies, system downtime, and the lack of skilled expertise. These hurdles are amplified by the operational risks associated with piecemeal upgrades and the potential disruptions to essential workloads.

In an article published on CXOtoday, Naresh Duddu, Associate Vice President and Global Head of Modernization at Infosys, highlights how generative AI emerges as a game-changer in overcoming these challenges, automating processes like code refactoring, documentation, and the conversion of legacy code into modern languages.

To maximize the potential of generative AI, organizations must adopt an AI-first approach to embed AI throughout the modernization process. By leveraging AI, businesses can transform rigid legacy systems into future-ready platforms, driving innovation and operational efficiency.

Click here to read the article.