Improve systems management, IT operations, application performance and operational resiliency with AI on the mainframe
AIOps for IBM Z® combines automation with artificial intelligence (AI) and machine learning to streamline mainframe systems management. It detects and analyzes events and anomalies across complex IT environments, making operations more efficient.
It helps companies manage intricate IT environments by quickly identifying potential issues, isolating problems, analyzing root causes and speeding resolution. AIOps for IBM Z allows teams to focus on driving business outcomes.
AIOps can solve many IT challenges:
- Simplified, AI-powered operations that provide observability, optimized performance and increased automation.
- AI-driven operations that anticipate issues through OpenTelemetry-enabled insights.
- Delivers operational resilience, reduced MTTR, and maintains continuous availability.
Deliver enterprise-wide visibility across IBM Z and hybrid applications to support AI-assisted issue detection, diagnosis, and trend-based prevention.
Maximize mainframe availability and performance through correlated insights, continuous tuning, and AI driven optimization across Z + hybrid environments.
Apply agentic AI and guided automation to reduce MTTR, boost staff productivity, and sustain resiliency across mainframe operations.
Identify poorly performing tasks quickly for faster resolution with full-stack monitoring for early detection for IBM Z incidents.
Integrate z/OS into enterprise-wide observability platforms to provide end-to-end visibility of applications and underlying infrastructure. Support adoption of the OpenTelemetry standard to deliver Al-assisted issue detection and resolution.
Maximize application performance analysis and infrastructure availability through AI-assisted health and risk detection and optimize performance, workload, cost and capacity.
End-to-end, goal-driven and policy-based system automation. Intelligent workload automation with embedded predictive scheduling, automated configuration and provisioning.
Understand software inventory and make license decisions that align with business goals and forecasts.
End-to-end backup and recovery for data that uses real‑time analytics to pinpoint critical datasets, map dependencies and enable surgical recovery within minutes.
Simplify IT operations management for mainframe with AI-powered efficiency and AI-assisted chat operations. Manage incidents risk and resiliency and ensure security and compliance.
