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 is designed to allow clients to unlock data values on the system of records through modern APIs, allowing Z/OS data to be accessed in hybrid cloud and AI environments.
DFSMSDFP Cloud Data Access (CDA) and DFSMS Object Access Methods (OAM) integrate hybrid cloud and core business data by modernizing the access and management of Z/OS unstructured data through industry-standard REST APIs and enabling distributed environment access to existing Z/OS data.
The EZNOSQL API extension allows applications to use Python in Z/OS in addition to COBOL, C, and JAVA, and directly build scalable and accessible NOSQL databases in Z/OS, allowing 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 tools, all optimized for IBM Z17 Telum II processors, integrated AI accelerators, and Spyre accelerators.1. These components work together to directly enable fast inference and model execution in real time on the platform, minimizing latency and eliminating the need to move sensitive data.
AI is now built into mission-critical workloads and can now support advanced use cases such as fraud detection, supply chain optimization, and automated decision-making with high performance and security.
