From Legacy to Intelligence: Modernizing Mainframes for the Agentic AI Era
Across the financial services industry, legacy mainframe systems still power mission-critical operations such as core banking, payments, and risk management. While these systems have long delivered reliability and scale, they increasingly limit innovation. High operational costs, rigid architectures, siloed data, and limited support for modern AI-driven applications make it difficult for organizations to adapt quickly to changing market demands. As digital transformation accelerates, many enterprises are reevaluating how to modernize legacy infrastructure while preserving the stability these systems provide.
This panel will explore how organizations are approaching mainframe modernization through intelligent automation, AI-powered development tools, and flexible, cloud-ready data architectures. Leaders will discuss practical strategies for refactoring legacy applications, automating complex migration processes, and unlocking enterprise data to support advanced analytics and AI initiatives. The conversation will also highlight how modernization can move beyond simple system replacement to enable agile, scalable platforms that drive innovation, improve customer experiences, and position organizations for the next generation of AI-powered services.