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Presentation

I'm All In: Poker Game Theory Optimal (GTO), Mainframes, and AI
Event Type
Technical Session
Tracks
Data Center Management and Resiliency
Enterprise Architecture
Hybrid Cloud
Machine Learning/AI
Operations Management and Automation
Security and Compliance
Audience Levels
All Audiences
Learning Objectives
Modernize Data Management and Analytics
TimeThursday, August 209:15am - 10:15am EDT
LocationRoom 305
DescriptionWhether I'm at the poker table, working on a client LPAR, or exploring AI, Game Theory Optimal isn't just an experiment—it's a practical framework. After 20+ years in the automation space at a Managed Service Provider, I've seen how complex the landscape becomes with every new client and system. This session applies GTO thinking to AI: not only which aspects of a system to target, but the architecture and decision-making strategies that drive success. We'll explore the critical questions to ask—and why the answers are rarely binary.
Contributors
Principal Mainframe Systems Programmer
EXPERT CAPACITY MANAGEMENT