Organizations are consistently struggling to move data projects from development into production, with the vast majority failing to deliver results due to scaling complexities acro…
DataOps orchestration—the automated coordination of data workflows—is crucial for organizations to fully realize the benefits of being data-driven. Without it, data initiatives sta…
This article highlights the importance of DataOps and data orchestration for organizations aiming to become truly data-driven. While many strive for data-driven insights, they ofte…
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…
A recent Forrester study commissioned by BMC found that organizations using BMC AMI DevX significantly improved their mainframe development processes, achieving a 217% ROI. Specifi…
A recent Forrester study commissioned by BMC found that organizations using BMC AMI DevX significantly improved their mainframe developer experience, addressing a critical talent s…
Despite perceptions, mainframes remain crucial for critical business operations and are actually experiencing renewed optimism – a recent survey shows 97% of organizations view it …
The article highlights a shift in how businesses view application and data workflow orchestration, moving it from a purely IT function to a core business capability driving growth …
BMC’s January 2026 release significantly expands AI capabilities within its mainframe solutions, particularly through an enhanced chat assistant (BMC AMI Assistant) that can now be…
This article highlights Control-M’s latest release (26.01) focused on integrating AI to revolutionize workflow orchestration and real-time responsiveness. New features like AI-powe…
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 …
