Stream: AI
Time: 10:00 - 10:45
Mainframe application developers tasked with modifying monolithic code face immense challenges deciphering millions of lines of intricate programming. The complexity lies in comprehending the interdependencies, legacy syntax, and lack of documentation. Leveraging generative AI for mainframe transformation offers a groundbreaking solution for understanding monolithic complex COBOL code and syntax. Generative AI bridges this gap by autonomously analyzing the codebase, identifying patterns, and providing contextual insights, empowering developers to navigate and innovate efficiently. By attending this session, participants will learn how to harness the power of generative AI to overcome these challenges and drive transformative changes in mainframe applications.
As a DevOps evangelist for Compuware/BMC, Tony Anter is responsible for showing customers the art of what is possible when it comes to Mainframe DevOps and DevOps in general. Tony has over 20 years’ experience in IT as an individual contributor, people leader and architect. In 2016, Tony was given a project to bring DevOps to the Mainframe for a Fortune 100 Credit Card Company. He then spent the next 2 years migrating this companies Mainframe applications, 500+, onto a set of modern DevOps pipelines centered around Compuware tooling. Tony Lives in Phoenix, Arizona, with his wife and 3 children. In his spare time Tony likes to practice Brazilian Jiu Jitsu, watch Steelers Football and read.
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