z/OS is designed for organizations who want to leverage AI to enhance decision-making, uncover new opportunities for growth and extract greater value from existing data and applications. z/OS 3.2 helps clients unlock the value of their data on the system of record through modern APIs, engineered to make z/OS data accessible in hybrid cloud and AI environments without resorting to Extract-Transform-Load (ETL) which can be costly and error-prone.
DFSMSdfp Cloud Data Access (CDA) and DFSMS Object Access Method (OAM), through industry standard REST APIs, integrate core business data with hybrid cloud by modernizing the access and management of unstructured data on z/OS, and allowing distributed environments access to existing z/OS data.
Enhancements to EzNoSQL APIs allow applications to now utilize Python on z/OS, in addition to COBOL, C and Java, allowing clients to build scalable, accessible NoSQL databases directly on z/OS to enable data analysis and predictive modeling for enterprise applications.
Behind these integrated AI capabilities is a robust technology stack that includes open-source frameworks, zDNN libraries and AI tooling, all optimized for the IBM z17’s Telum II processor, Integrated Accelerator for AI, and Spyre Accelerator1. These components work together and are built to enable real-time, high-speed inferencing and model execution directly on the platform, minimize latency and eliminate the need to move sensitive data.
AI can now be embedded into mission-critical workloads, supporting advanced use cases like fraud detection, supply chain optimization and automated decision-making with high performance and security.