There is a lot of AI and Machine Learning language being used to market mainframe performance and capacity management (PCM) solutions, and it can be difficult to distinguish how these claims really impact the end results.
This webinar 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.
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
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