A Matter of Trust: Why Your AI Strategy Needs a Librarian
December 11, 2025
Amid an AI "trust crisis," Nathan Smith, who leads mainframe data replication strategy for customers at Kyndryl, writes about the ways the mainframe can help generative AI produce more reliable results
Press ReleasesIBM and AWS Strengthen Partnership to Accelerate Enterprise Agentic AI Across Industries
December 5, 2025
The companies are partnering on every layer of the AI stack as they unveil new innovations.
ArticlesGenerative AI and the Fast Track to Mainframe Skills
December 5, 2025
Meredith Stowell, VP of LinuxONE & Z Ecosystem at IBM, explains how generative AI tools are helping new mainframers get up to speed and beat the skills gap
ArticlesBeyond the Basics: Advanced Capabilities for IBM i Agents
December 2, 2025
After explaining how to build agents for IBM i, IBM AI specialists Adam Shedivy and Devansh Kumar show how to transform those agents from useful tools into intelligent systems
ArticlesHow to Build an AI Agent for IBM i
November 21, 2025
In this step-by-step tutorial, IBM AI specialists Adam Shedivy and Devansh Kumar show how to bring agentic AI from theory to practice
Mainframe Security: The Future Is Here
November 17, 2025
Press Releases
IBM Study: Chief Data Officers Redefine Strategies as AI Ambitions Outpace Readiness
November 14, 2025
The findings suggest that while chief data officers are at the helm of this transformation, many say their data is still not ready to unlock AI's full potential.
ArticlesAI Agents for IBM i: A Comprehensive Introduction
November 13, 2025
In this installment of IBM's "AI With IBM i" series, IBM AI specialists Adam Shedivy and Devansh Kumar explain how LLMs can be enhanced with knowledge, tools and memory to take real actions
ArticlesBeyond Legacy: The Modern Language Ecosystem of z/OS
November 10, 2025
For "z/OS and Friends," Joe Gulla catalogs the broad and ever-evolving range of programming languages on z/OS
E-BooksBehind the Numbers: IBM Power Performance and Capacity Planning
November 10, 2025
Using the right data, in the right way, to make the right decisions—principles to follow, missteps to avoid