Presentation
Answers in Seconds: Rethinking the Mainframe Skills Gap
Contributor
Event Type
Technical Session
IMS
Machine Learning/AI
Operations Management and Automation
Introductory
Troubleshoot and Resolve Complex Issues
TimeThursday, August 209:15am - 10:15am EDT
LocationRoom 315
DescriptionThe mainframe skills gap is often framed as a talent shortage. In practice, it’s a knowledge access problem. Most organizations already have the expertise—they just can’t reach it when it’s needed. Critical insight is scattered across documentation, tickets, and the experience of a shrinking group of specialists, forcing teams to search, wait, or rely on trial and error.
This session challenges the assumption that more hiring or more training will solve the problem. Instead, we examine how AI can make institutional knowledge accessible in context—within the tools and workflows teams already use.
We’ll walk through practical patterns for surfacing relevant knowledge at the moment of decision, enabling faster onboarding, more consistent problem resolution, and greater confidence across teams—without increasing dependency on a few individuals.
This session challenges the assumption that more hiring or more training will solve the problem. Instead, we examine how AI can make institutional knowledge accessible in context—within the tools and workflows teams already use.
We’ll walk through practical patterns for surfacing relevant knowledge at the moment of decision, enabling faster onboarding, more consistent problem resolution, and greater confidence across teams—without increasing dependency on a few individuals.
Contributor
Director