BMC announced it is delivering solutions that place AI, observability, and automation where teams already operate to fundamentally transform how teams resolve issues and manage complexity.
AMI Ops addresses is providing observability support with OpenTelemetry integration, streaming z/OS metrics directly into platforms such as Elastic, Splunk, Grafana, and Datadog. A mainframe spike and microservice regression now appear together in a unified view, with AI automatically correlating the relationship.
Specialized mainframe systems remain essential while now sharing the same operational visibility as distributed systems—enabling faster incident resolution and more informed decision-making across hybrid environments.
BMC is adding GenAI capabilities across the BMC AMI portfolio, with two critical additions this quarter:
For selective modernization: BMC AMI Assistant in BMC AMI DevX Code Insights delivers GenAI-assisted COBOL-to-Java conversion. This isn’t automatic conversion—it’s guided transformation that lets developers choose the best language for each job, then selectively extract and convert COBOL code into modular, well-designed Java. Teams focus effort where it creates the most value, resulting in safer, faster modernization.
For knowledge transfer: The knowledge expert capability embedded in BMC AMI Ops and BMC AMI zAdviser Enterprise On-Prem provides conversational, contextual guidance directly in the workflow. Veteran expertise becomes accessible to the entire team, closing skills gaps without depending on scarce talent.
BMC is also expanding Jett’s capabilities, its GenAI-powered advisor in Control-M SaaS. Jett’s expanded capabilities now answer, “How do I…?” questions using product documentation, maintain a prompt gallery for common scenarios, and learn from favorite queries. Knowledge that once required searching through manuals becomes immediately available, according to BMC.
Combined with modernized UI and broader cloud-platform support, Control-M continues expanding. As a new Databricks partner, Control-M delivers expanded integration capabilities across the modern data stack.
Other new integrations include Control-M for SAP BTP, Azure DevOps, Informatica Cloud Services, and many more. New and enhanced integrations release monthly, ensuring Control-M orchestrates workflows wherever business operates.
Control-M Data Assurance, a new service for Control-M self-hosted environments, validates data at each pipeline stage. Failed checks halt execution and trigger alerts before bad data reaches downstream consumers.
This shifts organizations from reactive detection to proactive prevention—catching errors at the source rather than discovering corrupted records after they’ve affected 15 dependent systems, BMC said.
For more information about this news, visit www.bmc.com.