When to use, and when not to use, Machine Learning for RMF/SMF Performance, Capacity, and Availability Analysis Presented by Intellimagic
October 2 @ 1:00 pm - 2:00 pm EDT
This session is designed to help you evaluate various Artificial Intelligence-based design approaches to enable the machine to derive better performance and availability intelligence on behalf of the human analysts.
This complex and voluminous (but critically important!) z/OS data source contains the best infrastructure operations metrics in the data center and is a strategic advantage to the platform and your organization if we better utilize it with the power of the machine.
There is a lot of AI and Machine Learning language being used everywhere, and it can be difficult to distinguish which approaches are really going to provide the biggest impact in the different pain points and business needs that exist.
This webinar will cover an overview of:
- the pain points that status quo RMF/SMF reporting is creating for today’s mainframe environments
- the top 5 business impact areas of need this pain creates
- how well new technology approaches, including Machine Learning and other AI techniques, can address (or not address) each identified business need