The Next Evolution in Enterprise AI is Purpose-Built
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…
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BMC Software | Blogs
34 articles · Page 2 of 3
Service Orchestration Solves What Scheduling Cannot
While individual application schedulers can automate tasks within their own boundaries, they lack the coordination required to manage complex business processes that span multiple …
Service Orchestration Solves What Scheduling Cannot
This article argues that many organizations unknowingly suffer from a lack of service orchestration, leading to operational friction and incomplete data despite functioning individ…
What Is a Data Pipeline? A Complete Guide
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…
How to orchestrate a data pipeline on Google Cloud with Control-M from BMC
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…
Unlock Your Data Initiatives with DataOps
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.…
Why Orchestration—not More Agents—is the Key to Scaling Enterprise AI
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…
5 Reasons ETL is the Wrong Approach for Mainframe Data Migration
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…
EMA Names BMC a Value Leader in Workload Automation and Orchestration
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…
Operationalization and Orchestration: the Keys to Data Project Success
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…
Orchestrate and Automate to Make DataOps Successful
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…
Data Orchestration: the Core Pillar for DataOps
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…