Control-M powered by Digitate’s AI Agent for AIOps on batch workloads

Control-M simplifies workflow orchestration complexity, making it easy to define, schedule, manage and monitor complex application workflows, ensuring visibility, reliability and improved SLAs. It integrates, automates and orchestrates application workflows across on-premises, private and public clouds, so your jobs get delivered on time, every time. With a single unified view, you can orchestrate all your workflows, including file transfers, applications, data sources and infrastructure with a rich library of plug-ins. Easily provisioned in the cloud, Control-M leverages the ephemeral capabilities of cloud-based compute services. Using a Jobs-as-Code approach with REST APIs and JSON, workflows become versionable, testable, maintainable, and collaborative for developers and DevOps engineers as a part of their CI/CD pipeline. For organizations with mainframe modernization initiatives, Control-M integrates with AWS Mainframe Modernization Service to preserve the continuity of mission-critical business outcomes. Digitate’s AI Agents bring AIOps to Control M platform through anomaly detection, auto triaging and proactive problem management. Control-M powered by Digitate’s AI Agent for AIOps on batch workloads delivers business SLA Prediction in an agentic solution to predict and prevent violations of business SLAs and ensure that business deliverables are delivered on time. Following are the key capabilities. ignio’s AI agents, with their ability to perceive, reason, act, and learn deliver measurable business value and transform batch operations using the AI Agents for the autonomous enterprise – IT Event Management, Incident Resolution, Business SLA prediction and Proactive Problem Management.

Highlights

1. Simplifies workflows across hybrid and multi-cloud environments.
2. Delivers data-driven outcomes faster by managing production data pipeline workflows in a scalable way and provides in-depth workflow observability with intelligent predictive analytics and reports
3. Agentic AI solution to prevent business SLA failures impacting on-time delivery of key business deliverables through AIOps - detecting anomalies, auto-triaging, self-healing and proactive problem management of batch workloads.