As we shared earlier this year, legacy systems written in COBOL code touch every part of our lives. Within the financial industry alone, 43% of banking systems use COBOL. 80% of in person financial transactions use a system written in COBOL. 95% of ATM swipes rely on COBOL code. At the same time, due to workforce challenges, lack of institutional knowledge and system complexity limit organization’s ability to modernize their legacy systems. This, in turn, prevents organizations from taking full advantage of the cloud to enhance their security, resiliency, adaptability, and scalability.

Due to revolutionary artificial intelligence advances, a solution to this problem may lie around the corner. Using generative AI, GenAI, we can use AI tools to meet the needs of our enterprise firms while reducing the risk associated with modernizing mission-critical legacy systems while sidestepping concerns regarding the dwindling COBOL workforce. With tools like ReDuX, you can!

Consider how you might use AI to understand the complex relationships between components of your legacy system. What if you could address the institutional knowledge and workforce challenges by using AI to answer your questions about the system and then transform that COBOL code into production ready modern software equivalents? That is the focus of our next webinar: Untangle the Modernization Ball of Mud with AI.

Join us on BrightTalk and discover how to modernize mission-critical mainframe systems using GenAI. We will walk you through the step-by-step process as we pull apart legacy systems to understand functionality, reduce risk, and accelerate modernization. Hear from the ReDuX team as they describe how, using AI, we minimize manual work and optimize the assessment phase in our mainframe migration projects.

Missed your opportunity to join us? Log in and watch the recording at your convenience. Don’t forget to subscribe to our BrightTalk channel and envision AI accelerated modernization for every next.