Stream: Catalunya
Time: 10:00 - 10:45
IBM Z is one of the most well instrumented technologies in the world, generating more data than humans can interpret. Machine learning augments human intelligence to detect anomalous behavior in the systems to help proactively identify operations issues. Learn about how machine learning and AI can be applied to different types of data and different use cases across your entire IBM Z stack.
Wolfgang Schaeberle is a Senior Product Manager at IBM, specializing in the IBM Z AIOps portfolio. He leads product management for IBM Z Workload Scheduler and IBM Z Service Automation Suite, and drives innovation in mainframe operations through the integration of generative AI, agentic AI, ChatOps, and modern web-based user interfaces.
With a strong foundation in systems management, Wolfgang has held key technical leadership roles within IBM Z Automation, contributing across disciplines such as automated operations, business resilience, and performance management. His expertise also spans user experience design and application development, enabling him to bridge technical depth with user-centric product strategy.
Ash joined IBM in late 1990s as a graduate intake starting off working in the Systems Programmer team for ten years followed by twelve years with the IBM Lab Services team performing product consultancy on Composite Application Monitoring, and since 2017, Ash has been a Product Manager in the IBM Z AIOps team who is responsible for the OMEGAMON and ITCAM on z/OS monitoring products.
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