Turning AI Ambition into Trusted Production with Control-M
The October release of Control-M facilitates the integration of AI agents into production workflows while ensuring strict governance and reliability over critical business outcomes…
The October release of Control-M facilitates the integration of AI agents into production workflows while ensuring strict governance and reliability over critical business outcomes…
Enterprise IT systems rely on predictability, but non-deterministic AI agents challenge established workflows built on certainty. To safely integrate these technologies, organizati…
This article highlights the historical and ongoing contributions of women to the mainframe industry, starting with pioneers like Grace Hopper who helped develop COBOL. BMC specific…
This article announces the latest release of Control-M, an orchestration platform designed to help organizations manage increasingly complex data, applications, and AI pipelines. T…
This article argues that traditional automation efforts often fail because the business users who *possess* crucial knowledge aren't the ones *building* the automation, leading to …
Enterprise automation rarely fails because teams lack ideas. It fails because scaling automation safely is challenging, and conventional workflows often remain static after they sh…