Transforming IMS Operations with AIOps and Intelligent Insight
As IMS environments face growing complexity and a shortage of specialists, traditional monitoring methods are becoming insufficient for managing critical, high-volume applications.…
As IMS environments face growing complexity and a shortage of specialists, traditional monitoring methods are becoming insufficient for managing critical, high-volume applications.…
BMC’s April 2026 release marks a strategic shift from generative AI to agentic AI workflows within its BMC AMI suite, aiming to enhance mainframe productivity through more automate…
BMC's April 2026 release signals a strategic shift from generative AI to agentic AI within its BMC AMI suite, focusing on automating complex workflows and enhancing mainframe produ…
BMC is evolving its mainframe AI strategy from providing simple insights and explanations toward "coordinated intelligence" powered by specialized, policy-aware AI agents. These ag…
While individual application schedulers can automate tasks within their own boundaries, they lack the coordination required to manage complex business processes that span multiple …
This article argues that many organizations unknowingly suffer from a lack of service orchestration, leading to operational friction and incomplete data despite functioning individ…
A data pipeline is an automated process for moving and transforming data from various sources into a usable format for analytics and decision-making. It’s comprised of five core co…
This article details how BMC’s Control-M now orchestrates data pipelines on Google Cloud, enabling teams to manage complex workflows across services like Cloud Storage, Dataflow, a…
This article highlights the growing need for DataOps – applying DevOps and agile principles to data management – as companies struggle to realize value from their data investments.…
Despite widespread investment in AI agents, the article argues that simply *adding* more agents isn’t the key to realizing AI’s potential. The biggest challenge facing organization…
This article argues that traditional ETL (Extract, Transform, Load) is an inefficient approach for modern mainframe data migration. ETL was designed for simpler, database-to-databa…
BMC’s Control-M has been recognized as the overall highest performer and a “Value Leader” in the 2025 EMA Radar for Workload Automation and Orchestration for the eighth consecutive…