10381: BYOD Lab: Ultra-Fast Inferencing on z/OS

Project and Program: New and Innovative Technologies, Machine Learning/AI

Tags: Proceedings , SHARE Orlando 2024 , 2024

Get hands-on experience with the latest AI technologies on the z/OS platform in this lab, where you will deploy a credit card fraud detection model from inception to scoring. We will walk you through the key stages: 1) Model training in Python within a Jupyter notebook using the open-source Tensorflow AI framework; 2) Model exportation in the Open Neural Network Exchange (ONNX) format; 3) Importation into IBM Maching Learning for z/OS, leading to the generation of an inference program that taps into the IBM z16's innovative Integrated Accelerator for AI; 4) Call this z/OS-served inference program froma z/OS application to obtain a score that determines whether to accept or reject a purchase. -- Presented by Stephen Warren; Andrew Sica

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