In z/OS, it is standard practice to control access to various resources—everything from data sets to interaction with specific APIs. One of the most common ways to achieve controlled access ...

We are pleased to release version pyaitoolkit_1.13.0.post9 of the Python AI Toolkit for IBM z/OS , which includes the release of JupyterHub version 4.1.6 on z/OS . This enables ...

Whitepaper: Applying Evolutionary Computation to SMF-Derived Enterprise Insights on z/OS Author: Bruce McKnight Teaching decades-old mainframes some new AI tricks. ...

Introduction Did you know that with IBM’s Machine Learning for z/OS product, you can access predictive scoring directly from your web application—without relying on REST calls? By using ...

Hi to mainframers that want to externalize core z/OS data to an AI agent/platform... I came across Connect LLMs and AI-agents to real-time mainframe data | Geniez AI And am looking ...

1.0 The Big Problem: Why Most AI Projects Get Stuck For most large organizations, getting started with Artificial Intelligence (AI) is the easy part. A team builds an exciting pilot project ...

Bridging the gap between cutting-edge research and enterprise-grade infrastructure, our collaboration between research and IBM Z is accelerating AI innovation in bringing a new era of optimized ...

Since IBM Synthetic Datasets first debuted earlier in 2025, one of the use cases we’ve been hearing increasingly from financial institutions is being able to detect fraud in instant payments. ...