Stream: Copse
Time: 11:15 - 12:00
The mainframe ecosystem faces a dual challenge: a steep learning curve for new talent and an urgent need to scale veteran expertise. This panel explores how Generative AI bridges this generational gap. Grounded in real-world case studies—like generating Python scripts for Workload Manager (WLM) policies—AI handles the syntactic "how," while humans focus on the "what" of architecture and design. By offloading technical nuances to AI, senior experts are freed earlier to mentor the next generation on business logic and strategic decision-making, accelerating talent development and preserving vital institutional knowledge.
There is currently no attachment for Shift the "How," Elevate the "What": How AI Redefine Workload Management and next-gen mentorship
Nanxi is a Learning Experience Researcher at Broadcom, where she also serves as a data strategist and AI innovator. Having pivoted from academia to the industry, she brings a deep research lens to the world of enterprise technology. As a key contributor to the Mainframe Open Education project, Nanxi focuses on transforming decades of expert knowledge into accessible, AI-driven learning paths for the next generation.
I am a mainframe capacity planner and performance analyst who drifted into that as a full-time job as opposed to it being one of many hats I wore as a small shop systems programmer. I have been a systems programmer since 1984, when my first PC (Personal, not Portable, Computer) was an IBM 4341 mainframe. While I have concentrated on z/OS, I started in VSE (now zVSE), VM (now zVM) and OS/VS1 (one of the predecessors to MVS). I have presented at conferences over the years on various systems, capacity and performance topics and enjoy all things mainframe. I like to remind people that the answer to any question you don't ask is always "No." That means I like to question things and provide a few answers when I can.
As an Education Program Manager for Broadcom Mainframe Software, Kelsey Colberg focuses on creating comprehensive learning experiences. She is passionate about optimizing educational programs to help users, partners, and internal teams maximize their success within the mainframe ecosystem.