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BMC Helix AIOps 25.4 Released

BMC released BMC Helix AIOps 25.4.

BMC Helix AIOps 25.4 delivers agentic AI-driven root cause analysis, AI infrastructure optimization, integrated capacity risk management, and improved vulnerability management, along with other enhancements.

The AIOps value realization dashboard is available out of the box to provide a quick view into key business KPIs, such as

  • Event noise reduction
  • Incident volume reduction
  • Mean time to identify (MTTI)
  • Mean time to resolve (MTTR)

Operational key performance indicators (KPIs) are also tracked and displayed in the dashboard to help identify areas that may need attention to improve operations.

Integration with the Elastic Observability module allows BMC Helix AIOps to ingest the metrics or events collected by Elastic Search, such as those of a Kubernetes environment. This integration provides an additional data source for insights and context into the behavior of applications, accelerating root cause detection and remediation.

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BMC Helix AIOps 25.4 Released

BMC released BMC Helix AIOps 25.4.

BMC Helix AIOps 25.4 delivers agentic AI-driven root cause analysis, AI infrastructure optimization, integrated capacity risk management, and improved vulnerability management, along with other enhancements.

The AIOps value realization dashboard is available out of the box to provide a quick view into key business KPIs, such as

  • Event noise reduction
  • Incident volume reduction
  • Mean time to identify (MTTI)
  • Mean time to resolve (MTTR)

Operational key performance indicators (KPIs) are also tracked and displayed in the dashboard to help identify areas that may need attention to improve operations.

Integration with the Elastic Observability module allows BMC Helix AIOps to ingest the metrics or events collected by Elastic Search, such as those of a Kubernetes environment. This integration provides an additional data source for insights and context into the behavior of applications, accelerating root cause detection and remediation.

The Latest

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

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