This session is split in two, the first part will focus on fraud prevention and give examples on how you can score transactions in real-time using Watson Machine Learning for z/OS through the native WOLA interface. The second part will explain how to utilize a new capability in IMS Performance Analyzer to stream Internal Resource Usage reports to an analytics environment to enable a better follow-up and current view on resource usage.
Part 1: How to use WMLz to integrate AI in IMS Applications through WOLA.
Part 2: Simplify IMS resourse usage analysis with IMS PA and elastic.