Artificial Intelligence

Mainframe Security: The Future Is Here

IBM Study: Chief Data Officers Redefine Strategies as AI Ambitions Outpace Readiness

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.

AI Agents for IBM i: A Comprehensive Introduction

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

Beyond Legacy: The Modern Language Ecosystem of z/OS

For "z/OS and Friends," Joe Gulla catalogs the broad and ever-evolving range of programming languages on z/OS

Behind the Numbers: IBM Power Performance and Capacity Planning

Using the right data, in the right way, to make the right decisions—principles to follow, missteps to avoid

How the DBA’s Role Transforms in the Hybrid Cloud Era

Craig Mullins looks at the shifting environment facing DBAs, who are now tasked with navigating an increasingly interconnected digital landscape

Spec-Driven Development and Context Engineering—A Smarter Approach to AI-Enabled Coding

Brenno Oliveira of Kyndryl explains why this measured approach beats "vibe coding" as a reliable path to desired results

IBM Consulting Collaborates With Red Hat on Innovation Hub for Hybrid Cloud and AI Transformation

Powered by Red Hat, the Innovation Hub was designed to to help mutual clients accelerate their enterprise transformation.

Z’ing the Future: Mainframe Performance and Capacity Planning Insights

Experts explain how to assess needs while upgrading and explore why limitless cloud capacity doesn't negate the need for careful planning

Project Bob Supercharges IBM i’s Plans for an AI Code Assistant

IBM i CTO Steve Will describes how the platform-neutral, AI-Powered IDE will assist along the entire development pipeline