Presentation
Operationalizing Real‑Time AI on IBM Z with Machine Learning for z/OS
Contributors
Event Type
Technical Session
CICS
IMS
Machine Learning/AI
z/OS Systems Programming
All Audiences
Modernize Data Management and Analytics
TimeWednesday, August 191:15pm - 2:15pm EDT
LocationRoom 305
DescriptionReal‑time AI on z/OS has the potential to deliver immediate, actionable insights directly within core business processes—driving measurable impact to the enterprise bottom line. But how do you operationalize AI on the platform? How are models deployed, managed, and securely invoked from existing CICS, IMS, and batch applications?
In this deep‑dive technical session, we will explore how to seamlessly embed AI models into the z/OS environment and integrate them into mission‑critical workloads. Attendees will learn practical approaches for deploying and invoking models, key architectural patterns, and best practices for achieving low‑latency, in‑transaction inference at scale.
The session will also address common challenges and opportunities when operationalizing AI on the mainframe, including model lifecycle management, explainability, and operational governance. We will highlight recent platform enhancements that simplify AI adoption on z/OS, improve transparency and trust in AI‑driven decisions, and accelerate time to value.
Join us to see how AI‑powered real‑time insights on z/OS can transform decision‑making, improve operational efficiency, and enable organizations to respond faster to changing business conditions.
In this deep‑dive technical session, we will explore how to seamlessly embed AI models into the z/OS environment and integrate them into mission‑critical workloads. Attendees will learn practical approaches for deploying and invoking models, key architectural patterns, and best practices for achieving low‑latency, in‑transaction inference at scale.
The session will also address common challenges and opportunities when operationalizing AI on the mainframe, including model lifecycle management, explainability, and operational governance. We will highlight recent platform enhancements that simplify AI adoption on z/OS, improve transparency and trust in AI‑driven decisions, and accelerate time to value.
Join us to see how AI‑powered real‑time insights on z/OS can transform decision‑making, improve operational efficiency, and enable organizations to respond faster to changing business conditions.
Contributors
IBM STSM
Senior AI Client Engagement Leader