Inside IBM ML: Real-Time Analytics On the Mainframe

“Bring the compute to the data,” is a common refrain you hear in the big data age. Now IBM is heading that advice with today’s launch of IBM Machine Learning for z/OS, a new offering due this quarter that will bring Watson-based machine learning software to the mainframe atop an Apache Spark execution engine, attached to a Jupyter-based data science workbook.

There are on the order of 20,000 IBM mainframe systems in the wild, which is practically a rounding error compared to tabulations of global population of Windows and Linux servers. But mainframes are a different sort of beast, in large part because they run the most valuable transactional workloads for the biggest companies in the world.

Author: Alex Woodie


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