Coming Soon to a Mainframe Near You: Machine Learning, Part 2 - Syncsort blog

In Part 1, I discussed some compelling new uses of mainframe machine data that go far beyond today's common use cases. I looked at how Google is using interaction between machine learning teams and the rest of its employees to drive transformative thinking in all product development, and began to explore how ML is part of predictive analytics on z/OS. Now, let's look at what IBM, Elite Analytics, Syncsort and Splunk are doing to leverage ML for next gen analytics, and how bots can become the development teachers of the very near future. IBM is already using Predictive Failure Analysis inside z/OS to anticipate certain types of failure -- based on ML using data on its own behavior. Predictive Failure Analysis (PFA) pulls data from IBM Health Checker for z/OS and uses ML to recognize opportunities to alert operators to potential problems in advance of a serious problem.