31281: Watson Machine Learning for z/OS (WMLz) Scoring Interface Introduction and Use Case Examples

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

Tags: Proceedings, 2023, SHARE New Orleans 2023

IBM Watson Machine Learning for z/OS(WML for z/OS or WMLz) is an enterprise machine learning solution that runs on IBM Z. Machine learning models can be deployed on WMLz and application can call the WMLz scoring service to get inference result and make real-time predictions. REST API is the most commonly used interface to call WMLz scoring service for inference. Other than REST API, there are also 2 other commonly used interfaces to call scoring service specially for COBOL applications and JAVA applications. In this topic, we will give an overall introduction about those 3 WMLz scoring interfaces and show some use case examples. 1.WMLz scoring service REST API 2.Use the CICS LINK command in your CICS COBOL application to call WMLz scoring service 3.Calling the Machine learning scoring engine with Java

Back to Proceedings File Library