This article explains how to transition AI agents from experimental demos to production-grade governance pipelines by using Control-M for complex workflow orchestration. It demonst…
While generative AI focuses on creating content through reactive prompts, agentic AI is goal-driven and capable of executing autonomous, multi-step actions across enterprise system…
The article distinguishes between Generative AI, which creates content to change how work is designed, and Agentic AI, which pursues goals by taking actions that change how work is…
Agentic orchestration is a coordination layer designed to govern autonomous AI agents, automated systems, and human reviewers within established business processes. Rather than fol…
Agentic orchestration is a coordination layer designed to govern the interactions between autonomous AI agents, automated systems, and human operators within established business p…
The new Control-M release focuses on providing a reliable orchestration control plane to help enterprises transition innovations like AI, automation, and cloud services into produc…
As the deadline for SAP ECC maintenance approaches in December 2027, migrating to S/4HANA presents significant operational risks due to the complex, interconnected workflows that s…
With SAP ECC maintenance ending on December 31, 2027, organizations face significant operational risks during the transition to S/4HANA due to complex dependencies across fragmente…
Modernizing orchestration platforms during an SAP S/4HANA migration allows organizations to protect existing automation investments and reduce the operational risks associated with…
Managing complex data flows between SAP and non-SAP systems can jeopardize digital transformations like the migration to SAP S/4HANA due to integration and visibility challenges. C…
Managing complex data flows between SAP and non-SAP systems poses significant risks and visibility challenges, especially during critical migrations to SAP S/4HANA. Control-M addre…
As AI agents and automated workflows scale, traditional human-centric controls are failing to govern machine-driven execution in real time. To bridge this gap, organizations must s…