IBM Systems Magazine - Machine Learning Applications

Machine Learning Applications The recent announcement of IBM Machine Learning on z/OS is significant for a couple of reasons. Beyond that, it's important for anyone who supports software installation, database administration and analytics on z/OS. Studies have shown that 70 percent of the world's data being accessed for analytics originates on the mainframe. While one of the traditional reasons for moving the data off z/OS has been to avoid impacting operational online transaction processing (OLTP) performance with resource intensive online analytic processing (OLAP), over the past few years DB2 for z/OS has evolved into a hybrid transactional/analytical processing (HTAP) database. DB2 for z/OS--combined with IBM DB2 Analytics Accelerator--form a self-managing database management system that maximizes the efficiency of each workload it runs.