Data Scientist Applications with IBM Machine Learning for z/OS - including a Demo

IBM Machine Learning for z/OS provides the framework to enable IBM z Systems clients to create and deploy self-learning machines that continuously improve and adapt with each new interaction/transaction. A continuous feedback loop provides progressively better predictions and optimization of the models. As an on premise solution, clients are able to keep their mission-critical z/OS data in place while adding external data to generate holistic insight. This presentation describes the key technical aspects to develop new types of data scientist related applications on the z Systems environment. It will further highlight its integration with the DB2 Analytics Accelerator. The presentation will be complemented with a demo.