Mainframes have powered intelligent decisions for decades. Today, artificial intelligence (AI) takes that role further – spotting fraud as transactions happen, anticipating workload demands, helping developers understand legacy code, and strengthening system operations. How much do you know about the technologies bringing AI to the mainframe? Take our quiz and find out!
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Next-Generation Dual-Architecture Processor, Advances in AI Enablement for Application Modernization, and more
IBM Unveils Next-Generation Dual-Architecture Processor for IBM Z and LinuxONE BMC Survey Finds 94% Confidence in the Mainframe as Enterprises Scale AI With Human Oversight Rocket Software Advances AI Enablement for Application Modernization Across Mission-Critical...
The Mainframe’s Renaissance: Why Your System of Record Is the Foundation of AI-Ready Hybrid Cloud
The mainframe never went away. It simply stopped auditioning for attention. While cloud-native startups, hyperscalers, and SaaS platforms dominated enterprise strategy conversations, the organizations running the world’s most critical workloads quietly kept doing what...
AI-Powered WLM Cuts Batch Queue Time by Up to 70%
What happens when Workload Manager can anticipate batch demand instead of simply responding to it? The latest issue of Cheryl Watson’s Tuning Letter leads off with findings from testing IBM AI-powered Workload Manager (WLM). The test used an AI model trained on 30...
Mainframe Jargon Challenge
Every technical field develops its own language, and the mainframe world is no exception. Whether we’re talking about the alphabet soup of multi-letter acronyms or terms that have been part of the platform for decades, mainframe jargon serves as a kind of shorthand...

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